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ORCIDJianfeng Gao 0001
Person information
- affiliation: Microsoft Research, Redmond, WA, USA
Other persons with the same name
- Jianfeng Gao
- Jianfeng Gao 0002
![[0000-0002-6371-505X]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-6371-505X")
— Karlsruhe Institute of Technology, Germany - Jianfeng Gao 0003 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- Jianfeng Gao 0004 — Zhejiang Ocean University, Zhoushan, China
- Jianfeng Gao 0005 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China
- Jianfeng Gao 0006 — Soochow University, School of Electronics & Information Engineering, Suzhou, China
- Jianfeng Gao 0007 — Beijing Institute of Technology, School of Mechatronical Engineering, China
- Jianfeng Gao 0008 — China National Institute of Standardization, Ergonomics Laboratory, Beijing, China
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2020 – today
- 2025
[c307]Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao:
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. COLING 2025: 7558-7568- 2024
- [j29]Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao:
Multimodal Foundation Models: From Specialists to General-Purpose Assistants. Found. Trends Comput. Graph. Vis. 16(1-2): 1-214 (2024) - [j28]Dingmin Wang, Qiuyuan Huang, Matthew Jackson, Jianfeng Gao:
Retrieve What You Need: A Mutual Learning Framework for Open-domain Question Answering. Trans. Assoc. Comput. Linguistics 12: 247-263 (2024) - [j27]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4066-4076 (2024) - [j26]Miaoran Li, Baolin Peng, Jianfeng Gao, Zhu Zhang:
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience. ACM Trans. Web 18(4): 45:1-45:27 (2024) - [c306]Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao:
Visual in-Context Prompting. CVPR 2024: 12861-12871 - [c305]Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. EACL (1) 2024: 209-225 - [c304]Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Leizhang, Chunyuan Li, Jainwei Yang:
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. ECCV (43) 2024: 19-35 - [c303]Hitesh Kandala, Jianfeng Gao, Jianwei Yang:
Pix2Gif: Motion-Guided Diffusion for GIF Generation. ECCV (85) 2024: 35-51 - [c302]Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li:
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. ECCV (47) 2024: 126-142 - [c301]Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao:
Segment and Recognize Anything at Any Granularity. ECCV (48) 2024: 467-484 - [c300]Kate McCurdy, Paul Soulos, Paul Smolensky, Roland Fernandez, Jianfeng Gao:
Toward Compositional Behavior in Neural Models: A Survey of Current Views. EMNLP 2024: 9323-9339 - [c299]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. ICLR 2024 - [c298]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. ICLR 2024 - [c297]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts. ICLR 2024 - [c296]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Is Self-Repair a Silver Bullet for Code Generation? ICLR 2024 - [c295]Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao:
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. ICLR 2024 - [c294]Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao:
Position: TrustLLM: Trustworthiness in Large Language Models. ICML 2024 - [c293]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. ASE 2024: 1282-1294 - [c292]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu Zhang:
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models. NAACL-HLT (Findings) 2024: 163-181 - [c291]Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks. NAACL-HLT (Findings) 2024: 1333-1351 - [c290]Ran Gong, Qiuyuan Huang, Xiaojian Ma, Yusuke Noda, Zane Durante, Zilong Zheng, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao, Hoi Vo:
MindAgent: Emergent Gaming Interaction. NAACL-HLT (Findings) 2024: 3154-3183 - [c289]Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu:
Teaching Language Models to Self-Improve through Interactive Demonstrations. NAACL-HLT 2024: 5127-5149 - [i310]Zane Durante, Qiuyuan Huang, Naoki Wake, Ran Gong, Jae Sung Park, Bidipta Sarkar, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Yejin Choi, Katsushi Ikeuchi, Hoi Vo, Li Fei-Fei, Jianfeng Gao:
Agent AI: Surveying the Horizons of Multimodal Interaction. CoRR abs/2401.03568 (2024) - [i309]Lichao Sun, Yue Huang, Haoran Wang, Siyuan Wu, Qihui Zhang, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yue Zhao:
TrustLLM: Trustworthiness in Large Language Models. CoRR abs/2401.05561 (2024) - [i308]Yanda Chen, Chandan Singh, Xiaodong Liu, Simiao Zuo, Bin Yu, He He, Jianfeng Gao:
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning. CoRR abs/2401.13986 (2024) - [i307]Chandan Singh, Jeevana Priya Inala, Michel Galley, Rich Caruana, Jianfeng Gao:
Rethinking Interpretability in the Era of Large Language Models. CoRR abs/2402.01761 (2024) - [i306]Yufan Zhuang, Liyuan Liu, Chandan Singh, Jingbo Shang, Jianfeng Gao:
Learning a Decision Tree Algorithm with Transformers. CoRR abs/2402.03774 (2024) - [i305]Zane Durante, Bidipta Sarkar, Ran Gong, Rohan Taori, Yusuke Noda, Paul Tang, Ehsan Adeli, Shrinidhi Kowshika Lakshmikanth, Kevin A. Schulman, Arnold Milstein, Demetri Terzopoulos, Ade Famoti, Noboru Kuno, Ashley J. Llorens, Hoi Vo, Katsushi Ikeuchi, Li Fei-Fei, Jianfeng Gao, Naoki Wake, Qiuyuan Huang:
An Interactive Agent Foundation Model. CoRR abs/2402.05929 (2024) - [i304]Shervin Minaee, Tomás Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, Jianfeng Gao:
Large Language Models: A Survey. CoRR abs/2402.06196 (2024) - [i303]Tarun Gupta, Wenbo Gong, Chao Ma, Nick Pawlowski, Agrin Hilmkil, Meyer Scetbon, Ade Famoti, Ashley Juan Llorens, Jianfeng Gao, Stefan Bauer, Danica Kragic, Bernhard Schölkopf, Cheng Zhang:
The Essential Role of Causality in Foundation World Models for Embodied AI. CoRR abs/2402.06665 (2024) - [i302]Yixin Liu, Kai Zhang, Yuan Li, Zhiling Yan, Chujie Gao, Ruoxi Chen, Zhengqing Yuan, Yue Huang, Hanchi Sun, Jianfeng Gao, Lifang He, Lichao Sun:
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. CoRR abs/2402.17177 (2024) - [i301]Qiuyuan Huang, Naoki Wake, Bidipta Sarkar, Zane Durante, Ran Gong, Rohan Taori, Yusuke Noda, Demetri Terzopoulos, Noboru Kuno, Ade Famoti, Ashley J. Llorens, John Langford, Hoi Vo, Li Fei-Fei, Katsushi Ikeuchi, Jianfeng Gao:
Position Paper: Agent AI Towards a Holistic Intelligence. CoRR abs/2403.00833 (2024) - [i300]Zelalem Gero, Chandan Singh, Yiqing Xie, Sheng Zhang, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Attribute Structuring Improves LLM-Based Evaluation of Clinical Text Summaries. CoRR abs/2403.01002 (2024) - [i299]Hitesh Kandala, Jianfeng Gao, Jianwei Yang:
Pix2Gif: Motion-Guided Diffusion for GIF Generation. CoRR abs/2403.04634 (2024) - [i298]Juan Manuel Zambrano Chaves, Shih-Cheng Huang, Yanbo Xu, Hanwen Xu, Naoto Usuyama, Sheng Zhang, Fei Wang, Yujia Xie, Mahmoud Khademi, Ziyi Yang, Hany Hassan Awadalla, Julia Gong, Houdong Hu, Jianwei Yang, Chunyuan Li, Jianfeng Gao, Yu Gu, Cliff Wong, Mu Wei, Tristan Naumann, Muhao Chen, Matthew P. Lungren, Serena Yeung-Levy, Curtis P. Langlotz, Sheng Wang, Hoifung Poon:
Training Small Multimodal Models to Bridge Biomedical Competency Gap: A Case Study in Radiology Imaging. CoRR abs/2403.08002 (2024) - [i297]An Yan, Zhengyuan Yang, Junda Wu, Wanrong Zhu, Jianwei Yang, Linjie Li, Kevin Lin, Jianfeng Wang, Julian J. McAuley, Jianfeng Gao, Lijuan Wang:
List Items One by One: A New Data Source and Learning Paradigm for Multimodal LLMs. CoRR abs/2404.16375 (2024) - [i296]Theodore Zhao, Yu Gu, Jianwei Yang, Naoto Usuyama, Ho Hin Lee, Tristan Naumann, Jianfeng Gao, Angela Crabtree, Jacob Abel, Christine Moung, Brian Piening, Carlo Bifulco, Mu Wei, Hoifung Poon, Sheng Wang:
BiomedParse: a biomedical foundation model for image parsing of everything everywhere all at once. CoRR abs/2405.12971 (2024) - [i295]Vinamra Benara, Chandan Singh, John X. Morris, Richard Antonello, Ion Stoica, Alexander G. Huth, Jianfeng Gao:
Crafting Interpretable Embeddings by Asking LLMs Questions. CoRR abs/2405.16714 (2024) - [i294]Mu Cai, Jianwei Yang, Jianfeng Gao, Yong Jae Lee:
Matryoshka Multimodal Models. CoRR abs/2405.17430 (2024) - [i293]Lingchen Meng, Jianwei Yang, Rui Tian, Xiyang Dai, Zuxuan Wu, Jianfeng Gao, Yu-Gang Jiang:
DeepStack: Deeply Stacking Visual Tokens is Surprisingly Simple and Effective for LMMs. CoRR abs/2406.04334 (2024) - [i292]Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, Huichi Zhou, Yiqiang Li, Tianshuo Zhou, Yue Yu, Chujie Gao, Qihui Zhang, Yi Gui, Zhen Li, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun:
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. CoRR abs/2406.10819 (2024) - [i291]Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun:
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR abs/2406.18966 (2024) - [i290]Zeliang Zhang, Xiaodong Liu, Hao Cheng, Chenliang Xu, Jianfeng Gao:
Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts. CoRR abs/2407.09590 (2024) - [i289]Chenglong Wang, Bongshin Lee, Steven Mark Drucker, Dan Marshall, Jianfeng Gao:
Data Formulator 2: Iteratively Creating Rich Visualizations with AI. CoRR abs/2408.16119 (2024) - [i288]Qingru Zhang, Xiaodong Yu, Chandan Singh, Xiaodong Liu, Liyuan Liu, Jianfeng Gao, Tuo Zhao, Dan Roth, Hao Cheng:
Model Tells Itself Where to Attend: Faithfulness Meets Automatic Attention Steering. CoRR abs/2409.10790 (2024) - [i287]Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - [i286]Junjie Huang, Daya Guo, Chenglong Wang, Jiazhen Gu, Shuai Lu, Jeevana Priya Inala, Cong Yan, Jianfeng Gao, Nan Duan, Michael R. Lyu:
Contextualized Data-Wrangling Code Generation in Computational Notebooks. CoRR abs/2409.13551 (2024) - [i285]Jeevana Priya Inala, Chenglong Wang, Steven Mark Drucker, Gonzalo Ramos, Victor Dibia, Nathalie Riche, Dave Brown, Dan Marshall, Jianfeng Gao:
Data Analysis in the Era of Generative AI. CoRR abs/2409.18475 (2024) - [i284]Richard Antonello, Chandan Singh, Shailee Jain, Aliyah R. Hsu, Jianfeng Gao, Bin Yu, Alexander Huth:
A generative framework to bridge data-driven models and scientific theories in language neuroscience. CoRR abs/2410.00812 (2024) - [i283]Xiao Yu, Baolin Peng, Vineeth Vajipey, Hao Cheng, Michel Galley, Jianfeng Gao, Zhou Yu:
ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning. CoRR abs/2410.02052 (2024) - [i282]Yufan Zhuang, Chandan Singh, Liyuan Liu, Jingbo Shang, Jianfeng Gao:
Vector-ICL: In-context Learning with Continuous Vector Representations. CoRR abs/2410.05629 (2024) - [i281]Mu Cai, Reuben Tan, Jianrui Zhang, Bocheng Zou, Kai Zhang, Feng Yao, Fangrui Zhu, Jing Gu, Yiwu Zhong, Yuzhang Shang, Yao Dou, Jaden Park, Jianfeng Gao, Yong Jae Lee, Jianwei Yang:
TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models. CoRR abs/2410.10818 (2024) - [i280]Seonghyeon Ye, Joel Jang, Byeongguk Jeon, Se June Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo:
Latent Action Pretraining from Videos. CoRR abs/2410.11758 (2024) - [i279]Paul Smolensky, Roland Fernandez, Zhenghao Herbert Zhou, Mattia Opper, Jianfeng Gao:
Mechanisms of Symbol Processing for In-Context Learning in Transformer Networks. CoRR abs/2410.17498 (2024) - [i278]Chung-En Sun, Xiaodong Liu, Weiwei Yang, Tsui-Wei Weng, Hao Cheng, Aidan San, Michel Galley, Jianfeng Gao:
Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities. CoRR abs/2410.18469 (2024) - [i277]Eunji Kim, Sriya Mantena, Weiwei Yang, Chandan Singh, Sungroh Yoon, Jianfeng Gao:
Interpretable Language Modeling via Induction-head Ngram Models. CoRR abs/2411.00066 (2024) - [i276]Tong Chen, Hao Fang, Patrick Xia, Xiaodong Liu, Benjamin Van Durme, Luke Zettlemoyer, Jianfeng Gao, Hao Cheng:
Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass. CoRR abs/2411.05877 (2024) - [i275]Dilxat Muhtar, Yelong Shen, Yaming Yang, Xiaodong Liu, Yadong Lu, Jianfeng Liu, Yuefeng Zhan, Hao Sun, Weiwei Deng, Feng Sun, Xueliang Zhang, Jianfeng Gao, Weizhu Chen, Qi Zhang:
StreamAdapter: Efficient Test Time Adaptation from Contextual Streams. CoRR abs/2411.09289 (2024) - [i274]Jiuhai Chen, Jianwei Yang, Haiping Wu, Dianqi Li, Jianfeng Gao, Tianyi Zhou, Bin Xiao:
Florence-VL: Enhancing Vision-Language Models with Generative Vision Encoder and Depth-Breadth Fusion. CoRR abs/2412.04424 (2024) - [i273]Jitesh Jain, Zhengyuan Yang, Humphrey Shi, Jianfeng Gao, Jianwei Yang:
OLA-VLM: Elevating Visual Perception in Multimodal LLMs with Auxiliary Embedding Distillation. CoRR abs/2412.09585 (2024) - [i272]Yucheng Li, Huiqiang Jiang, Qianhui Wu, Xufang Luo, Surin Ahn, Chengruidong Zhang, Amir H. Abdi, Dongsheng Li, Jianfeng Gao, Yuqing Yang, Lili Qiu:
SCBench: A KV Cache-Centric Analysis of Long-Context Methods. CoRR abs/2412.10319 (2024) - [i271]Ruijie Zheng, Yongyuan Liang, Shuaiyi Huang, Jianfeng Gao, Hal Daumé III, Andrey Kolobov, Furong Huang, Jianwei Yang:
TraceVLA: Visual Trace Prompting Enhances Spatial-Temporal Awareness for Generalist Robotic Policies. CoRR abs/2412.10345 (2024) - [i270]Paul Soulos, Henry Conklin, Mattia Opper, Paul Smolensky, Jianfeng Gao, Roland Fernandez:
Compositional Generalization Across Distributional Shifts with Sparse Tree Operations. CoRR abs/2412.14076 (2024) - 2023
- [b1]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. The Information Retrieval Series 44, Springer 2023, ISBN 978-3-031-23079-0, pp. 1-192 - [j25]Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Fine-tuning large neural language models for biomedical natural language processing. Patterns 4(4): 100729 (2023) - [j24]R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz:
How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. Trans. Assoc. Comput. Linguistics 11: 652-670 (2023) - [j23]Liangke Gui, Yingshan Chang, Qiuyuan Huang, Subhojit Som, Alexander G. Hauptmann, Jianfeng Gao, Yonatan Bisk:
Training Vision-Language Transformers from Captions. Trans. Mach. Learn. Res. 2023 (2023) - [c288]Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao:
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. ACL (1) 2023: 1368-1386 - [c287]Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Chain-of-Skills: A Configurable Model for Open-Domain Question Answering. ACL (1) 2023: 1599-1618 - [c286]Borui Wang, Qiuyuan Huang, Budhaditya Deb, Aaron Halfaker, Liqun Shao, Daniel McDuff, Ahmed Hassan Awadallah, Dragomir Radev, Jianfeng Gao:
Logical Transformers: Infusing Logical Structures into Pre-Trained Language Models. ACL (Findings) 2023: 1762-1773 - [c285]Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao:
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. ACL (2) 2023: 1864-1875 - [c284]Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. ACL (1) 2023: 5095-5112 - [c283]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao:
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine Translation. ACL (Findings) 2023: 9116-9132 - [c282]Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song:
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. ACL (1) 2023: 12933-12950 - [c281]Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao:
Explaining Data Patterns in Natural Language with Language Models. BlackboxNLP@EMNLP 2023: 31-55 - [c280]Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao:
Generalized Decoding for Pixel, Image, and Language. CVPR 2023: 15116-15127 - [c279]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CVPR 2023: 15148-15158 - [c278]Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee:
GLIGEN: Open-Set Grounded Text-to-Image Generation. CVPR 2023: 22511-22521 - [c277]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. EMNLP (Demos) 2023: 106-123 - [c276]Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. EMNLP 2023: 4450-4468 - [c275]Chandan Singh, John X. Morris, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. EMNLP 2023: 6253-6267 - [c274]Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao:
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. EMNLP (Findings) 2023: 12259-12275 - [c273]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. ICLR 2023 - [c272]Pengcheng He, Jianfeng Gao, Weizhu Chen:
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. ICLR 2023 - [c271]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Alex Polozov, Christopher Meek, Dragomir Radev, Jianfeng Gao:
Learning Math Reasoning from Self-Sampled Correct and Partially-Correct Solutions. ICLR 2023 - [c270]Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Visually-Augmented Language Modeling. ICLR 2023 - [c269]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Understand and Modularize Generator Optimization in ELECTRA-style Pretraining. ICML 2023: 8244-8259 - [c268]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. ICML 2023: 32499-32520 - [c267]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. NeurIPS 2023 - [c266]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. NeurIPS 2023 - [c265]Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao:
Bridging Discrete and Backpropagation: Straight-Through and Beyond. NeurIPS 2023 - [c264]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. NeurIPS 2023 - [c263]Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. NeurIPS 2023 - [c262]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. NeurIPS 2023 - [c261]Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Wang, Lijuan Wang, Jianfeng Gao, Yong Jae Lee:
Segment Everything Everywhere All at Once. NeurIPS 2023 - [c260]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu (Drew) Zhang:
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. SIGDIAL 2023: 496-508 - [i269]Yuheng Li, Haotian Liu, Qingyang Wu, Fangzhou Mu, Jianwei Yang, Jianfeng Gao, Chunyuan Li, Yong Jae Lee:
GLIGEN: Open-Set Grounded Text-to-Image Generation. CoRR abs/2301.07093 (2023) - [i268]Haotian Liu, Kilho Son, Jianwei Yang, Ce Liu, Jianfeng Gao, Yong Jae Lee, Chunyuan Li:
Learning Customized Visual Models with Retrieval-Augmented Knowledge. CoRR abs/2301.07094 (2023) - [i267]Zekun Li, Baolin Peng, Pengcheng He, Michel Galley, Jianfeng Gao, Xifeng Yan:
Guiding Large Language Models via Directional Stimulus Prompting. CoRR abs/2302.11520 (2023) - [i266]Baolin Peng, Michel Galley, Pengcheng He, Hao Cheng, Yujia Xie, Yu Hu, Qiuyuan Huang, Lars Liden, Zhou Yu, Weizhu Chen, Jianfeng Gao:
Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback. CoRR abs/2302.12813 (2023) - [i265]Felix Faltings, Michel Galley, Baolin Peng, Kianté Brantley, Weixin Cai, Yizhe Zhang, Jianfeng Gao, Bill Dolan:
Interactive Text Generation. CoRR abs/2303.00908 (2023) - [i264]Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianfeng Gao, Jianwei Yang, Lei Zhang:
A Simple Framework for Open-Vocabulary Segmentation and Detection. CoRR abs/2303.08131 (2023) - [i263]Sanxing Chen, Hao Cheng, Xiaodong Liu, Jian Jiao, Yangfeng Ji, Jianfeng Gao:
Pre-training Transformers for Knowledge Graph Completion. CoRR abs/2303.15682 (2023) - [i262]Baolin Peng, Chunyuan Li, Pengcheng He, Michel Galley, Jianfeng Gao:
Instruction Tuning with GPT-4. CoRR abs/2304.03277 (2023) - [i261]Xueyan Zou, Jianwei Yang, Hao Zhang, Feng Li, Linjie Li, Jianfeng Gao, Yong Jae Lee:
Segment Everything Everywhere All at Once. CoRR abs/2304.06718 (2023) - [i260]Liyuan Liu, Chengyu Dong, Xiaodong Liu, Bin Yu, Jianfeng Gao:
Bridging Discrete and Backpropagation: Straight-Through and Beyond. CoRR abs/2304.08612 (2023) - [i259]Pan Lu, Baolin Peng, Hao Cheng, Michel Galley, Kai-Wei Chang, Ying Nian Wu, Song-Chun Zhu, Jianfeng Gao:
Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models. CoRR abs/2304.09842 (2023) - [i258]Qiuyuan Huang, Jae Sung Park, Abhinav Gupta, Paul N. Bennett, Ran Gong, Subhojit Som, Baolin Peng, Owais Khan Mohammed, Chris Pal, Yejin Choi, Jianfeng Gao:
ArK: Augmented Reality with Knowledge Interactive Emergent Ability. CoRR abs/2305.00970 (2023) - [i257]Kaixin Ma, Hao Cheng, Yu Zhang, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Chain-of-Skills: A Configurable Model for Open-domain Question Answering. CoRR abs/2305.03130 (2023) - [i256]Chandan Singh, Aliyah R. Hsu, Richard Antonello, Shailee Jain, Alexander G. Huth, Bin Yu, Jianfeng Gao:
Explaining black box text modules in natural language with language models. CoRR abs/2305.09863 (2023) - [i255]Linyuan Gong, Chenyan Xiong, Xiaodong Liu, Payal Bajaj, Yiqing Xie, Alvin Cheung, Jianfeng Gao, Xia Song:
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers. CoRR abs/2305.12567 (2023) - [i254]Yu Zhang, Hao Cheng, Zhihong Shen, Xiaodong Liu, Ye-Yi Wang, Jianfeng Gao:
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding. CoRR abs/2305.14232 (2023) - [i253]Zelalem Gero, Chandan Singh, Hao Cheng, Tristan Naumann, Michel Galley, Jianfeng Gao, Hoifung Poon:
Self-Verification Improves Few-Shot Clinical Information Extraction. CoRR abs/2306.00024 (2023) - [i252]Paul Soulos, Edward J. Hu, Kate McCurdy, Yunmo Chen, Roland Fernandez, Paul Smolensky, Jianfeng Gao:
Differentiable Tree Operations Promote Compositional Generalization. CoRR abs/2306.00751 (2023) - [i251]Chunyuan Li, Cliff Wong, Sheng Zhang, Naoto Usuyama, Haotian Liu, Jianwei Yang, Tristan Naumann, Hoifung Poon, Jianfeng Gao:
LLaVA-Med: Training a Large Language-and-Vision Assistant for Biomedicine in One Day. CoRR abs/2306.00890 (2023) - [i250]Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Augmenting Language Models with Long-Term Memory. CoRR abs/2306.07174 (2023) - [i249]Theo X. Olausson, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao, Armando Solar-Lezama:
Demystifying GPT Self-Repair for Code Generation. CoRR abs/2306.09896 (2023) - [i248]Feng Li, Hao Zhang, Peize Sun, Xueyan Zou, Shilong Liu, Jianwei Yang, Chunyuan Li, Lei Zhang, Jianfeng Gao:
Semantic-SAM: Segment and Recognize Anything at Any Granularity. CoRR abs/2307.04767 (2023) - [i247]Yadong Lu, Chunyuan Li, Haotian Liu, Jianwei Yang, Jianfeng Gao, Yelong Shen:
An Empirical Study of Scaling Instruct-Tuned Large Multimodal Models. CoRR abs/2309.09958 (2023) - [i246]Ran Gong, Qiuyuan Huang, Xiaojian Ma, Hoi Vo, Zane Durante, Yusuke Noda, Zilong Zheng, Song-Chun Zhu, Demetri Terzopoulos, Li Fei-Fei, Jianfeng Gao:
MindAgent: Emergent Gaming Interaction. CoRR abs/2309.09971 (2023) - [i245]Chunyuan Li, Zhe Gan, Zhengyuan Yang, Jianwei Yang, Linjie Li, Lijuan Wang, Jianfeng Gao:
Multimodal Foundation Models: From Specialists to General-Purpose Assistants. CoRR abs/2309.10020 (2023) - [i244]Liyuan Liu, Jianfeng Gao, Weizhu Chen:
Sparse Backpropagation for MoE Training. CoRR abs/2310.00811 (2023) - [i243]Suyu Ge, Yunan Zhang, Liyuan Liu, Minjia Zhang, Jiawei Han, Jianfeng Gao:
Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs. CoRR abs/2310.01801 (2023) - [i242]Pan Lu, Hritik Bansal, Tony Xia, Jiacheng Liu, Chunyuan Li, Hannaneh Hajishirzi, Hao Cheng, Kai-Wei Chang, Michel Galley, Jianfeng Gao:
MathVista: Evaluating Math Reasoning in Visual Contexts with GPT-4V, Bard, and Other Large Multimodal Models. CoRR abs/2310.02255 (2023) - [i241]Chengyu Dong, Liyuan Liu, Hao Cheng, Jingbo Shang, Jianfeng Gao, Xiaodong Liu:
Fast-ELECTRA for Efficient Pre-training. CoRR abs/2310.07347 (2023) - [i240]Yu Gu, Jianwei Yang, Naoto Usuyama, Chunyuan Li, Sheng Zhang, Matthew P. Lungren, Jianfeng Gao, Hoifung Poon:
BiomedJourney: Counterfactual Biomedical Image Generation by Instruction-Learning from Multimodal Patient Journeys. CoRR abs/2310.10765 (2023) - [i239]Jianwei Yang, Hao Zhang, Feng Li, Xueyan Zou, Chunyuan Li, Jianfeng Gao:
Set-of-Mark Prompting Unleashes Extraordinary Visual Grounding in GPT-4V. CoRR abs/2310.11441 (2023) - [i238]Xiaodong Yu, Hao Cheng, Xiaodong Liu, Dan Roth, Jianfeng Gao:
Automatic Hallucination Assessment for Aligned Large Language Models via Transferable Adversarial Attacks. CoRR abs/2310.12516 (2023) - [i237]Xiao Yu, Baolin Peng, Michel Galley, Jianfeng Gao, Zhou Yu:
Teaching Language Models to Self-Improve through Interactive Demonstrations. CoRR abs/2310.13522 (2023) - [i236]John X. Morris, Chandan Singh, Alexander M. Rush, Jianfeng Gao, Yuntian Deng:
Tree Prompting: Efficient Task Adaptation without Fine-Tuning. CoRR abs/2310.14034 (2023) - [i235]Wei-Ge Chen, Irina Spiridonova, Jianwei Yang, Jianfeng Gao, Chunyuan Li:
LLaVA-Interactive: An All-in-One Demo for Image Chat, Segmentation, Generation and Editing. CoRR abs/2311.00571 (2023) - [i234]Qingru Zhang, Chandan Singh, Liyuan Liu, Xiaodong Liu, Bin Yu, Jianfeng Gao, Tuo Zhao:
Tell Your Model Where to Attend: Post-hoc Attention Steering for LLMs. CoRR abs/2311.02262 (2023) - [i233]Shilong Liu, Hao Cheng, Haotian Liu, Hao Zhang, Feng Li, Tianhe Ren, Xueyan Zou, Jianwei Yang, Hang Su, Jun Zhu, Lei Zhang, Jianfeng Gao, Chunyuan Li:
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents. CoRR abs/2311.05437 (2023) - [i232]An Yan, Zhengyuan Yang, Wanrong Zhu, Kevin Lin, Linjie Li, Jianfeng Wang, Jianwei Yang, Yiwu Zhong, Julian J. McAuley, Jianfeng Gao, Zicheng Liu, Lijuan Wang:
GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI Navigation. CoRR abs/2311.07562 (2023) - [i231]Feng Li, Qing Jiang, Hao Zhang, Tianhe Ren, Shilong Liu, Xueyan Zou, Huaizhe Xu, Hongyang Li, Chunyuan Li, Jianwei Yang, Lei Zhang, Jianfeng Gao:
Visual In-Context Prompting. CoRR abs/2311.13601 (2023) - [i230]Jiarui Xu, Yossi Gandelsman, Amir Bar, Jianwei Yang, Jianfeng Gao, Trevor Darrell, Xiaolong Wang:
IMProv: Inpainting-based Multimodal Prompting for Computer Vision Tasks. CoRR abs/2312.01771 (2023) - [i229]Hao Zhang, Hongyang Li, Feng Li, Tianhe Ren, Xueyan Zou, Shilong Liu, Shijia Huang, Jianfeng Gao, Lei Zhang, Chunyuan Li, Jianwei Yang:
LLaVA-Grounding: Grounded Visual Chat with Large Multimodal Models. CoRR abs/2312.02949 (2023) - [i228]Jae Sung Park, Jack Hessel, Khyathi Raghavi Chandu, Paul Pu Liang, Ximing Lu, Peter West, Youngjae Yu, Qiuyuan Huang, Jianfeng Gao, Ali Farhadi, Yejin Choi:
Localized Symbolic Knowledge Distillation for Visual Commonsense Models. CoRR abs/2312.04837 (2023) - 2022
- [j22]Paul Smolensky, Richard Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao:
Neurocompositional Computing: From the Central Paradox of Cognition to a New Generation of AI Systems. AI Mag. 43(3): 308-322 (2022) - [j21]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning-based Text Classification: A Comprehensive Review. ACM Comput. Surv. 54(3): 62:1-62:40 (2022) - [j20]Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao:
Vision-Language Pre-Training: Basics, Recent Advances, and Future Trends. Found. Trends Comput. Graph. Vis. 14(3-4): 163-352 (2022) - [j19]Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. ACM Trans. Comput. Heal. 3(1): 2:1-2:23 (2022) - [c259]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. AAAI 2022: 11183-11191 - [c258]Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
RetGen: A Joint Framework for Retrieval and Grounded Text Generation Modeling. AAAI 2022: 11739-11747 - [c257]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open Domain Question Answering with A Unified Knowledge Interface. ACL (1) 2022: 1605-1620 - [c256]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CVPR 2022: 10955-10965 - [c255]Yingshan Chang, Guihong Cao, Mridu Narang, Jianfeng Gao, Hisami Suzuki, Yonatan Bisk:
WebQA: Multihop and Multimodal QA. CVPR 2022: 16474-16483 - [c254]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CVPR 2022: 16772-16782 - [c253]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao:
Unified Contrastive Learning in Image-Text-Label Space. CVPR 2022: 19141-19151 - [c252]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervision for Biomedical Entity Linking. EMNLP (Findings) 2022: 868-880 - [c251]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. EMNLP (Findings) 2022: 2342-2354 - [c250]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. EMNLP (Findings) 2022: 5360-5374 - [c249]Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. EMNLP 2022: 5744-5760 - [c248]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. EMNLP (Findings) 2022: 7397-7413 - [c247]Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao:
Efficient Self-supervised Vision Transformers for Representation Learning. ICLR 2022 - [c246]Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. ICLR 2022 - [c245]Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Jianfeng Gao, Tuo Zhao:
Taming Sparsely Activated Transformer with Stochastic Experts. ICLR 2022 - [c244]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. IJCAI 2022: 2762-2768 - [c243]Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao:
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. NAACL-HLT 2022: 206-218 - [c242]Liangke Gui, Borui Wang, Qiuyuan Huang, Alexander Hauptmann, Yonatan Bisk, Jianfeng Gao:
KAT: A Knowledge Augmented Transformer for Vision-and-Language. NAACL-HLT 2022: 956-968 - [c241]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao:
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. NAACL-HLT (Findings) 2022: 2262-2281 - [c240]Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang:
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. NeurIPS 2022 - [c239]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. NeurIPS 2022 - [c238]Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao:
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. NeurIPS 2022 - [c237]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS 2022 - [c236]Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. NeurIPS 2022 - [c235]Jianwei Yang, Chunyuan Li, Xiyang Dai, Jianfeng Gao:
Focal Modulation Networks. NeurIPS 2022 - [c234]Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao:
GLIPv2: Unifying Localization and Vision-Language Understanding. NeurIPS 2022 - [c233]Xiaoying Zhang, Baolin Peng, Jianfeng Gao, Helen Meng:
Toward Self-Learning End-to-End Task-oriented Dialog Systems. SIGDIAL 2022: 516-530 - [i227]Jianfeng Gao, Chenyan Xiong, Paul Bennett, Nick Craswell:
Neural Approaches to Conversational Information Retrieval. CoRR abs/2201.05176 (2022) - [i226]Xiaoying Zhang, Baolin Peng, Jianfeng Gao, Helen Meng:
Toward Self-Learning End-to-End Dialog Systems. CoRR abs/2201.06849 (2022) - [i225]Dongkuan Xu, Subhabrata Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Hassan Awadallah, Jianfeng Gao:
AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models. CoRR abs/2201.12507 (2022) - [i224]Chen Liang, Haoming Jiang, Simiao Zuo, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models. CoRR abs/2202.02664 (2022) - [i223]Da Yin, Li Dong, Hao Cheng, Xiaodong Liu, Kai-Wei Chang, Furu Wei, Jianfeng Gao:
A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models. CoRR abs/2202.08772 (2022) - [i222]Greg Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao:
Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. CoRR abs/2203.03466 (2022) - [i221]Jianwei Yang, Chunyuan Li, Jianfeng Gao:
Focal Modulation Networks. CoRR abs/2203.11926 (2022) - [i220]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao:
Unified Contrastive Learning in Image-Text-Label Space. CoRR abs/2204.03610 (2022) - [i219]Payal Bajaj, Chenyan Xiong, Guolin Ke, Xiaodong Liu, Di He, Saurabh Tiwary, Tie-Yan Liu, Paul Bennett, Xia Song, Jianfeng Gao:
METRO: Efficient Denoising Pretraining of Large Scale Autoencoding Language Models with Model Generated Signals. CoRR abs/2204.06644 (2022) - [i218]Shashank Gupta, Subhabrata Mukherjee, Krishan Subudhi, Eduardo Gonzalez, Damien Jose, Ahmed Hassan Awadallah, Jianfeng Gao:
Sparsely Activated Mixture-of-Experts are Robust Multi-Task Learners. CoRR abs/2204.07689 (2022) - [i217]Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao:
ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. CoRR abs/2204.08790 (2022) - [i216]Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao:
K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR abs/2204.09222 (2022) - [i215]Paul Smolensky, R. Thomas McCoy, Roland Fernandez, Matthew Goldrick, Jianfeng Gao:
Neurocompositional computing: From the Central Paradox of Cognition to a new generation of AI systems. CoRR abs/2205.01128 (2022) - [i214]Liangke Gui, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao:
Training Vision-Language Transformers from Captions Alone. CoRR abs/2205.09256 (2022) - [i213]Weizhi Wang, Li Dong, Hao Cheng, Haoyu Song, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei:
Visually-Augmented Language Modeling. CoRR abs/2205.10178 (2022) - [i212]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. CoRR abs/2205.12410 (2022) - [i211]Ansong Ni, Jeevana Priya Inala, Chenglong Wang, Oleksandr Polozov, Christopher Meek, Dragomir R. Radev, Jianfeng Gao:
Learning from Self-Sampled Correct and Partially-Correct Programs. CoRR abs/2205.14318 (2022) - [i210]Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andrés Codas, Mark Encarnación, Shuvendu K. Lahiri, Madanlal Musuvathi, Jianfeng Gao:
Fault-Aware Neural Code Rankers. CoRR abs/2206.03865 (2022) - [i209]Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao:
GLIPv2: Unifying Localization and Vision-Language Understanding. CoRR abs/2206.05836 (2022) - [i208]Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang:
Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR abs/2206.07643 (2022) - [i207]Baolin Peng, Michel Galley, Pengcheng He, Chris Brockett, Lars Liden, Elnaz Nouri, Zhou Yu, Bill Dolan, Jianfeng Gao:
GODEL: Large-Scale Pre-Training for Goal-Directed Dialog. CoRR abs/2206.11309 (2022) - [i206]Miaoran Li, Baolin Peng, Jianfeng Gao, Zhu Zhang:
OPERA: Harmonizing Task-Oriented Dialogs and Information Seeking Experience. CoRR abs/2206.12449 (2022) - [i205]Shuvendu K. Lahiri, Aaditya Naik, Georgios Sakkas, Piali Choudhury, Curtis von Veh, Madanlal Musuvathi, Jeevana Priya Inala, Chenglong Wang, Jianfeng Gao:
Interactive Code Generation via Test-Driven User-Intent Formalization. CoRR abs/2208.05950 (2022) - [i204]Paul Soulos, Sudha Rao, Caitlin Smith, Eric Rosen, Asli Celikyilmaz, R. Thomas McCoy, Yichen Jiang, Coleman Haley, Roland Fernandez, Hamid Palangi, Jianfeng Gao, Paul Smolensky:
Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages. CoRR abs/2208.06061 (2022) - [i203]Pengcheng He, Baolin Peng, Liyang Lu, Song Wang, Jie Mei, Yang Liu, Ruochen Xu, Hany Hassan Awadalla, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, Xuedong Huang:
Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization. CoRR abs/2208.09770 (2022) - [i202]Sheng Zhang, Hao Cheng, Jianfeng Gao, Hoifung Poon:
Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning. CoRR abs/2208.14565 (2022) - [i201]Chandan Singh, Jianfeng Gao:
Emb-GAM: an Interpretable and Efficient Predictor using Pre-trained Language Models. CoRR abs/2209.11799 (2022) - [i200]Chandan Singh, John X. Morris, Jyoti Aneja, Alexander M. Rush, Jianfeng Gao:
Explaining Patterns in Data with Language Models via Interpretable Autoprompting. CoRR abs/2210.01848 (2022) - [i199]Hao Cheng, Hao Fang, Xiaodong Liu, Jianfeng Gao:
Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering. CoRR abs/2210.05156 (2022) - [i198]Ganesh Jawahar, Subhabrata Mukherjee, Xiaodong Liu, Young Jin Kim, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Ahmed Hassan Awadallah, Sébastien Bubeck, Jianfeng Gao:
AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers. CoRR abs/2210.07535 (2022) - [i197]Zhe Gan, Linjie Li, Chunyuan Li, Lijuan Wang, Zicheng Liu, Jianfeng Gao:
Vision-Language Pre-training: Basics, Recent Advances, and Future Trends. CoRR abs/2210.09263 (2022) - [i196]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge. CoRR abs/2210.12338 (2022) - [i195]Yufan Zhou, Chunyuan Li, Changyou Chen, Jianfeng Gao, Jinhui Xu:
Lafite2: Few-shot Text-to-Image Generation. CoRR abs/2210.14124 (2022) - [i194]Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin B. Clement, Nan Duan, Jianfeng Gao:
Execution-based Evaluation for Data Science Code Generation Models. CoRR abs/2211.09374 (2022) - [i193]Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan:
CodeExp: Explanatory Code Document Generation. CoRR abs/2211.15395 (2022) - [i192]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. CoRR abs/2211.17148 (2022) - [i191]Faeze Brahman, Baolin Peng, Michel Galley, Sudha Rao, Bill Dolan, Snigdha Chaturvedi, Jianfeng Gao:
Grounded Keys-to-Text Generation: Towards Factual Open-Ended Generation. CoRR abs/2212.01956 (2022) - [i190]Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, Jianfeng Gao:
Efficient Long Sequence Modeling via State Space Augmented Transformer. CoRR abs/2212.08136 (2022) - [i189]Miaoran Li, Baolin Peng, Michel Galley, Jianfeng Gao, Zhu Zhang:
Enhancing Task Bot Engagement with Synthesized Open-Domain Dialog. CoRR abs/2212.10008 (2022) - [i188]Yu Li, Baolin Peng, Pengcheng He, Michel Galley, Zhou Yu, Jianfeng Gao:
DIONYSUS: A Pre-trained Model for Low-Resource Dialogue Summarization. CoRR abs/2212.10018 (2022) - [i187]Zonglin Yang, Li Dong, Xinya Du, Hao Cheng, Erik Cambria, Xiaodong Liu, Jianfeng Gao, Furu Wei:
Language Models as Inductive Reasoners. CoRR abs/2212.10923 (2022) - [i186]Xueyan Zou, Zi-Yi Dou, Jianwei Yang, Zhe Gan, Linjie Li, Chunyuan Li, Xiyang Dai, Harkirat Behl, Jianfeng Wang, Lu Yuan, Nanyun Peng, Lijuan Wang, Yong Jae Lee, Jianfeng Gao:
Generalized Decoding for Pixel, Image, and Language. CoRR abs/2212.11270 (2022) - 2021
- [j18]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Vision-Language Navigation Policy Learning and Adaptation. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4205-4216 (2021) - [j17]Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao:
SOLOIST: Building Task Bots at Scale with Transfer Learning and Machine Teaching. Trans. Assoc. Comput. Linguistics 9: 907-824 (2021) - [j16]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
Overview of the Eighth Dialog System Technology Challenge: DSTC8. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2529-2540 (2021) - [c232]Xiaowei Hu, Xi Yin, Kevin Lin, Lei Zhang, Jianfeng Gao, Lijuan Wang, Zicheng Liu:
VIVO: Visual Vocabulary Pre-Training for Novel Object Captioning. AAAI 2021: 1575-1583 - [c231]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. AAAI 2021: 13666-13674 - [c230]Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan:
A Controllable Model of Grounded Response Generation. AAAI 2021: 14085-14093 - [c229]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. ACL/IJCNLP (Findings) 2021: 344-350 - [c228]Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao:
GO FIGURE: A Meta Evaluation of Factuality in Summarization. ACL/IJCNLP (Findings) 2021: 478-487 - [c227]Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. ACL/IJCNLP (1) 2021: 3080-3090 - [c226]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-Domain Question Answering. ACL/IJCNLP (1) 2021: 4089-4100 - [c225]Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao:
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. ACL/IJCNLP (1) 2021: 4418-4429 - [c224]Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. ACL/IJCNLP (1) 2021: 6895-6909 - [c223]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional processing emerges in neural networks solving math problems. CogSci 2021 - [c222]Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao:
VinVL: Revisiting Visual Representations in Vision-Language Models. CVPR 2021: 5579-5588 - [c221]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Contrastive Multi-document Question Generation. EACL 2021: 12-30 - [c220]Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao:
Token-wise Curriculum Learning for Neural Machine Translation. EMNLP (Findings) 2021: 3658-3670 - [c219]Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
ARCH: Efficient Adversarial Regularized Training with Caching. EMNLP (Findings) 2021: 4118-4131 - [c218]Kezhen Chen, Qiuyuan Huang, Daniel McDuff, Xiang Gao, Hamid Palangi, Jianfeng Wang, Kenneth D. Forbus, Jianfeng Gao:
NICE: Neural Image Commenting with Empathy. EMNLP (Findings) 2021: 4456-4472 - [c217]Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach. EMNLP (1) 2021: 6562-6577 - [c216]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. EMNLP (1) 2021: 10395-10407 - [c215]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: An Empirical Baseline Study. EMNLP (1) 2021: 10408-10423 - [c214]Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao:
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. ICCV 2021: 2978-2988 - [c213]Jianwei Yang, Yonatan Bisk, Jianfeng Gao:
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. ICCV 2021: 11542-11552 - [c212]Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen:
Deberta: decoding-Enhanced Bert with Disentangled Attention. ICLR 2021 - [c211]Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Language Models. Interspeech 2021: 1219-1223 - [c210]Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. KDD 2021: 3717-3725 - [c209]Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao:
Posterior Differential Regularization with f-divergence for Improving Model Robustness. NAACL-HLT 2021: 1078-1089 - [c208]Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao:
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. NAACL-HLT 2021: 4780-4793 - [c207]Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan:
Text Editing by Command. NAACL-HLT 2021: 5259-5274 - [c206]Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi:
Targeted Adversarial Training for Natural Language Understanding. NAACL-HLT 2021: 5385-5393 - [c205]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Ge Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
Few-Shot Learning Evaluation in Natural Language Understanding. NeurIPS Datasets and Benchmarks 2021 - [c204]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. NeurIPS Datasets and Benchmarks 2021 - [c203]Ge Yang, Edward J. Hu, Igor Babuschkin, Szymon Sidor, Xiaodong Liu, David Farhi, Nick Ryder, Jakub Pachocki, Weizhu Chen, Jianfeng Gao:
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer. NeurIPS 2021: 17084-17097 - [c202]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao:
Focal Attention for Long-Range Interactions in Vision Transformers. NeurIPS 2021: 30008-30022 - [i185]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i184]Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
UnitedQA: A Hybrid Approach for Open Domain Question Answering. CoRR abs/2101.00178 (2021) - [i183]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Reader-Guided Passage Reranking for Open-Domain Question Answering. CoRR abs/2101.00294 (2021) - [i182]Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao:
VinVL: Making Visual Representations Matter in Vision-Language Models. CoRR abs/2101.00529 (2021) - [i181]Ramakanth Pasunuru, Asli Celikyilmaz, Michel Galley, Chenyan Xiong, Yizhe Zhang, Mohit Bansal, Jianfeng Gao:
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization. CoRR abs/2103.01863 (2021) - [i180]Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Tuo Zhao:
Token-wise Curriculum Learning for Neural Machine Translation. CoRR abs/2103.11088 (2021) - [i179]Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao:
Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. CoRR abs/2103.15358 (2021) - [i178]Simiao Zuo, Chen Liang, Haoming Jiang, Xiaodong Liu, Pengcheng He, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
Adversarial Training as Stackelberg Game: An Unrolled Optimization Approach. CoRR abs/2104.04886 (2021) - [i177]Lis Pereira, Xiaodong Liu, Hao Cheng, Hoifung Poon, Jianfeng Gao, Ichiro Kobayashi:
Targeted Adversarial Training for Natural Language Understanding. CoRR abs/2104.05847 (2021) - [i176]Yizhe Zhang, Siqi Sun, Xiang Gao, Yuwei Fang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Joint Retrieval and Generation Training for Grounded Text Generation. CoRR abs/2105.06597 (2021) - [i175]Jacob L. Russin, Roland Fernandez, Hamid Palangi, Eric Rosen, Nebojsa Jojic, Paul Smolensky, Jianfeng Gao:
Compositional Processing Emerges in Neural Networks Solving Math Problems. CoRR abs/2105.08961 (2021) - [i174]Yichen Jiang, Asli Celikyilmaz, Paul Smolensky, Paul Soulos, Sudha Rao, Hamid Palangi, Roland Fernandez, Caitlin Smith, Mohit Bansal, Jianfeng Gao:
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization. CoRR abs/2106.01317 (2021) - [i173]Subhabrata Mukherjee, Ahmed Hassan Awadallah, Jianfeng Gao:
XtremeDistilTransformers: Task Transfer for Task-agnostic Distillation. CoRR abs/2106.04563 (2021) - [i172]Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao:
Efficient Self-supervised Vision Transformers for Representation Learning. CoRR abs/2106.09785 (2021) - [i171]Yu Wang, Jinchao Li, Tristan Naumann, Chenyan Xiong, Hao Cheng, Robert Tinn, Cliff Wong, Naoto Usuyama, Richard Rogahn, Zhihong Shen, Yang Qin, Eric Horvitz, Paul N. Bennett, Jianfeng Gao, Hoifung Poon:
Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature. CoRR abs/2106.13375 (2021) - [i170]Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao:
Focal Self-attention for Local-Global Interactions in Vision Transformers. CoRR abs/2107.00641 (2021) - [i169]Xiaotian Han, Jianwei Yang, Houdong Hu, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
Image Scene Graph Generation (SGG) Benchmark. CoRR abs/2107.12604 (2021) - [i168]Shiyue Zhang, Asli Celikyilmaz, Jianfeng Gao, Mohit Bansal:
EmailSum: Abstractive Email Thread Summarization. CoRR abs/2107.14691 (2021) - [i167]Jianwei Yang, Yonatan Bisk, Jianfeng Gao:
TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. CoRR abs/2108.09980 (2021) - [i166]Yingshan Chang, Mridu Narang, Hisami Suzuki, Guihong Cao, Jianfeng Gao, Yonatan Bisk:
WebQA: Multihop and Multimodal QA. CoRR abs/2109.00590 (2021) - [i165]Simiao Zuo, Chen Liang, Haoming Jiang, Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Tuo Zhao:
ARCH: Efficient Adversarial Regularized Training with Caching. CoRR abs/2109.07048 (2021) - [i164]Simiao Zuo, Xiaodong Liu, Jian Jiao, Young Jin Kim, Hany Hassan, Ruofei Zhang, Tuo Zhao, Jianfeng Gao:
Taming Sparsely Activated Transformer with Stochastic Experts. CoRR abs/2110.04260 (2021) - [i163]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
LiST: Lite Self-training Makes Efficient Few-shot Learners. CoRR abs/2110.06274 (2021) - [i162]Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, Jianfeng Gao:
Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text. CoRR abs/2110.08417 (2021) - [i161]Baolin Peng, Chunyuan Li, Zhu Zhang, Jinchao Li, Chenguang Zhu, Jianfeng Gao:
SYNERGY: Building Task Bots at Scale Using Symbolic Knowledge and Machine Teaching. CoRR abs/2110.11514 (2021) - [i160]Subhabrata Mukherjee, Xiaodong Liu, Guoqing Zheng, Saghar Hosseini, Hao Cheng, Greg Yang, Christopher Meek, Ahmed Hassan Awadallah, Jianfeng Gao:
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding. CoRR abs/2111.02570 (2021) - [i159]Boxin Wang, Chejian Xu, Shuohang Wang, Zhe Gan, Yu Cheng, Jianfeng Gao, Ahmed Hassan Awadallah, Bo Li:
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models. CoRR abs/2111.02840 (2021) - [i158]R. Thomas McCoy, Paul Smolensky, Tal Linzen, Jianfeng Gao, Asli Celikyilmaz:
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN. CoRR abs/2111.09509 (2021) - [i157]Pengcheng He, Jianfeng Gao, Weizhu Chen:
DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing. CoRR abs/2111.09543 (2021) - [i156]Lu Yuan, Dongdong Chen, Yi-Ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang:
Florence: A New Foundation Model for Computer Vision. CoRR abs/2111.11432 (2021) - [i155]Yichong Xu, Chenguang Zhu, Shuohang Wang, Siqi Sun, Hao Cheng, Xiaodong Liu, Jianfeng Gao, Pengcheng He, Michael Zeng, Xuedong Huang:
Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention. CoRR abs/2112.03254 (2021) - [i154]Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao:
Grounded Language-Image Pre-training. CoRR abs/2112.03857 (2021) - [i153]Liang Qiu, Yizhou Zhao, Jinchao Li, Pan Lu, Baolin Peng, Jianfeng Gao, Song-Chun Zhu:
ValueNet: A New Dataset for Human Value Driven Dialogue System. CoRR abs/2112.06346 (2021) - [i152]Robert Tinn, Hao Cheng, Yu Gu, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Fine-Tuning Large Neural Language Models for Biomedical Natural Language Processing. CoRR abs/2112.07869 (2021) - [i151]Sheng Zhang, Hao Cheng, Shikhar Vashishth, Cliff Wong, Jinfeng Xiao, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Knowledge-Rich Self-Supervised Entity Linking. CoRR abs/2112.07887 (2021) - [i150]Yu Li, Baolin Peng, Yelong Shen, Yi Mao, Lars Liden, Zhou Yu, Jianfeng Gao:
Knowledge-Grounded Dialogue Generation with a Unified Knowledge Representation. CoRR abs/2112.07924 (2021) - [i149]Liangke Gui, Borui Wang, Qiuyuan Huang, Alex Hauptmann, Yonatan Bisk, Jianfeng Gao:
KAT: A Knowledge Augmented Transformer for Vision-and-Language. CoRR abs/2112.08614 (2021) - [i148]Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao:
RegionCLIP: Region-based Language-Image Pretraining. CoRR abs/2112.09106 (2021) - 2020
- [j15]Li Zhou, Jianfeng Gao, Di Li, Heung-Yeung Shum:
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot. Comput. Linguistics 46(1): 53-93 (2020) - [j14]Minlie Huang, Xiaoyan Zhu, Jianfeng Gao:
Challenges in Building Intelligent Open-domain Dialog Systems. ACM Trans. Inf. Syst. 38(3): 21:1-21:32 (2020) - [c201]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. AAAI 2020: 7432-7439 - [c200]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. AAAI 2020: 7969-7976 - [c199]Yuan Li, Chunyuan Li, Yizhe Zhang, Xiujun Li, Guoqing Zheng, Lawrence Carin, Jianfeng Gao:
Complementary Auxiliary Classifiers for Label-Conditional Text Generation. AAAI 2020: 8303-8310 - [c198]Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. AAAI 2020: 13041-13049 - [c197]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. ACCV (4) 2020: 661-678 - [c196]Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao:
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (demo) 2020: 118-126 - [c195]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. ACL (demo) 2020: 142-149 - [c194]Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan:
DIALOGPT : Large-Scale Generative Pre-training for Conversational Response Generation. ACL (demo) 2020: 270-278 - [c193]Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao:
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. ACL (demo) 2020: 343-349 - [c192]Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao:
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. ACL 2020: 2177-2190 - [c191]Fangzhao Wu, Ying Qiao, Jiun-Hung Chen, Chuhan Wu, Tao Qi, Jianxun Lian, Danyang Liu, Xing Xie, Jianfeng Gao, Winnie Wu, Ming Zhou:
MIND: A Large-scale Dataset for News Recommendation. ACL 2020: 3597-3606 - [c190]Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training. CVPR 2020: 13134-13143 - [c189]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. ECCV (30) 2020: 121-137 - [c188]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. EMNLP (Findings) 2020: 172-182 - [c187]Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao:
RMM: A Recursive Mental Model for Dialog Navigation. EMNLP (Findings) 2020: 1732-1745 - [c186]Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Julia Kiseleva, Maarten de Rijke, Shahin Shayandeh, Jianfeng Gao:
Guided Dialogue Policy Learning without Adversarial Learning in the Loop. EMNLP (Findings) 2020: 2308-2317 - [c185]Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao:
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. EMNLP (1) 2020: 4274-4295 - [c184]Chunyuan Li, Xiang Gao, Yuan Li, Baolin Peng, Xiujun Li, Yizhe Zhang, Jianfeng Gao:
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. EMNLP (1) 2020: 4678-4699 - [c183]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. EMNLP (1) 2020: 5747-5763 - [c182]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. ICLR 2020 - [c181]Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
RaCT: Toward Amortized Ranking-Critical Training For Collaborative Filtering. ICLR 2020 - [c180]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Jianfeng Gao, Songhao Piao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. ICML 2020: 642-652 - [c179]Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Mapping natural-language problems to formal-language solutions using structured neural representations. ICML 2020: 1566-1575 - [c178]Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen:
Feature Quantization Improves GAN Training. ICML 2020: 11376-11386 - [c177]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing. ACM Multimedia 2020: 4383-4391 - [c176]Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [c175]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. SIGdial 2020: 297-310 - [c174]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. SIGIR 2020: 1933-1936 - [c173]Jianfeng Gao, Chenyan Xiong, Paul Bennett:
Recent Advances in Conversational Information Retrieval. SIGIR 2020: 2421-2424 - [i147]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. CoRR abs/2002.04793 (2020) - [i146]Xiaodong Liu, Yu Wang, Jianshu Ji, Hao Cheng, Xueyun Zhu, Emmanuel Awa, Pengcheng He, Weizhu Chen, Hoifung Poon, Guihong Cao, Jianfeng Gao:
The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR abs/2002.07972 (2020) - [i145]Weituo Hao, Chunyuan Li, Xiujun Li, Lawrence Carin, Jianfeng Gao:
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-training. CoRR abs/2002.10638 (2020) - [i144]Baolin Peng, Chenguang Zhu, Chunyuan Li, Xiujun Li, Jinchao Li, Michael Zeng, Jianfeng Gao:
Few-shot Natural Language Generation for Task-Oriented Dialog. CoRR abs/2002.12328 (2020) - [i143]Hangbo Bao, Li Dong, Furu Wei, Wenhui Wang, Nan Yang, Xiaodong Liu, Yu Wang, Songhao Piao, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training. CoRR abs/2002.12804 (2020) - [i142]Qiaolin Xia, Xiujun Li, Chunyuan Li, Yonatan Bisk, Zhifang Sui, Jianfeng Gao, Yejin Choi, Noah A. Smith:
Multi-View Learning for Vision-and-Language Navigation. CoRR abs/2003.00857 (2020) - [i141]Yang Zhao, Chunyuan Li, Ping Yu, Jianfeng Gao, Changyou Chen:
Feature Quantization Improves GAN Training. CoRR abs/2004.02088 (2020) - [i140]Ziming Li, Sungjin Lee, Baolin Peng, Jinchao Li, Shahin Shayandeh, Jianfeng Gao:
Guided Dialog Policy Learning without Adversarial Learning in the Loop. CoRR abs/2004.03267 (2020) - [i139]Shervin Minaee, Nal Kalchbrenner, Erik Cambria, Narjes Nikzad, Meysam Chenaghlu, Jianfeng Gao:
Deep Learning Based Text Classification: A Comprehensive Review. CoRR abs/2004.03705 (2020) - [i138]Chunyuan Li, Xiang Gao, Yuan Li, Xiujun Li, Baolin Peng, Yizhe Zhang, Jianfeng Gao:
Optimus: Organizing Sentences via Pre-trained Modeling of a Latent Space. CoRR abs/2004.04092 (2020) - [i137]Swadheen Shukla, Lars Liden, Shahin Shayandeh, Eslam Kamal, Jinchao Li, Matt Mazzola, Thomas Park, Baolin Peng, Jianfeng Gao:
Conversation Learner - A Machine Teaching Tool for Building Dialog Managers for Task-Oriented Dialog Systems. CoRR abs/2004.04305 (2020) - [i136]Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao:
Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. CoRR abs/2004.06165 (2020) - [i135]Liyuan Liu, Xiaodong Liu, Jianfeng Gao, Weizhu Chen, Jiawei Han:
Understanding the Difficulty of Training Transformers. CoRR abs/2004.08249 (2020) - [i134]Xiaodong Liu, Hao Cheng, Pengcheng He, Weizhu Chen, Yu Wang, Hoifung Poon, Jianfeng Gao:
Adversarial Training for Large Neural Language Models. CoRR abs/2004.08994 (2020) - [i133]Baolin Peng, Chenguang Zhu, Michael Zeng, Jianfeng Gao:
Data Augmentation for Spoken Language Understanding via Pretrained Models. CoRR abs/2004.13952 (2020) - [i132]Hannah Rashkin, Asli Celikyilmaz, Yejin Choi, Jianfeng Gao:
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking. CoRR abs/2004.14967 (2020) - [i131]Zeqiu Wu, Michel Galley, Chris Brockett, Yizhe Zhang, Xiang Gao, Chris Quirk, Rik Koncel-Kedziorski, Jianfeng Gao, Hannaneh Hajishirzi, Mari Ostendorf, Bill Dolan:
A Controllable Model of Grounded Response Generation. CoRR abs/2005.00613 (2020) - [i130]Homero Roman Roman, Yonatan Bisk, Jesse Thomason, Asli Celikyilmaz, Jianfeng Gao:
RMM: A Recursive Mental Model for Dialog Navigation. CoRR abs/2005.00728 (2020) - [i129]Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Jianfeng Gao:
SOLOIST: Few-shot Task-Oriented Dialog with A Single Pre-trained Auto-regressive Model. CoRR abs/2005.05298 (2020) - [i128]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. CoRR abs/2005.07362 (2020) - [i127]Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang:
Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR abs/2005.11406 (2020) - [i126]Minheng Ni, Haoyang Huang, Lin Su, Edward Cui, Taroon Bharti, Lijuan Wang, Jianfeng Gao, Dongdong Zhang, Nan Duan:
M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-training. CoRR abs/2006.02635 (2020) - [i125]Pengcheng He, Xiaodong Liu, Jianfeng Gao, Weizhu Chen:
DeBERTa: Decoding-enhanced BERT with Disentangled Attention. CoRR abs/2006.03654 (2020) - [i124]Shi Yu, Jiahua Liu, Jingqin Yang, Chenyan Xiong, Paul N. Bennett, Jianfeng Gao, Zhiyuan Liu:
Few-Shot Generative Conversational Query Rewriting. CoRR abs/2006.05009 (2020) - [i123]Asli Celikyilmaz, Elizabeth Clark, Jianfeng Gao:
Evaluation of Text Generation: A Survey. CoRR abs/2006.14799 (2020) - [i122]Yu Gu, Robert Tinn, Hao Cheng, Michael Lucas, Naoto Usuyama, Xiaodong Liu, Tristan Naumann, Jianfeng Gao, Hoifung Poon:
Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing. CoRR abs/2007.15779 (2020) - [i121]Xiaodong Liu, Kevin Duh, Liyuan Liu, Jianfeng Gao:
Very Deep Transformers for Neural Machine Translation. CoRR abs/2008.07772 (2020) - [i120]Sanxing Chen, Xiaodong Liu, Jianfeng Gao, Jian Jiao, Ruofei Zhang, Yangfeng Ji:
HittER: Hierarchical Transformers for Knowledge Graph Embeddings. CoRR abs/2008.12813 (2020) - [i119]Jianfeng Gao, Baolin Peng, Chunyuan Li, Jinchao Li, Shahin Shayandeh, Lars Liden, Heung-Yeung Shum:
Robust Conversational AI with Grounded Text Generation. CoRR abs/2009.03457 (2020) - [i118]Yuning Mao, Pengcheng He, Xiaodong Liu, Yelong Shen, Jianfeng Gao, Jiawei Han, Weizhu Chen:
Generation-Augmented Retrieval for Open-domain Question Answering. CoRR abs/2009.08553 (2020) - [i117]Xiaowei Hu, Xi Yin, Kevin Lin, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu:
VIVO: Surpassing Human Performance in Novel Object Captioning with Visual Vocabulary Pre-Training. CoRR abs/2009.13682 (2020) - [i116]Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang:
MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. CoRR abs/2010.01424 (2020) - [i115]Hao Cheng, Xiaodong Liu, Lis Pereira, Yaoliang Yu, Jianfeng Gao:
Posterior Differential Regularization with f-divergence for Improving Model Robustness. CoRR abs/2010.12638 (2020) - [i114]Felix Faltings, Michel Galley, Gerold Hintz, Chris Brockett, Chris Quirk, Jianfeng Gao, Bill Dolan:
Text Editing by Command. CoRR abs/2010.12826 (2020) - [i113]Saadia Gabriel, Asli Celikyilmaz, Rahul Jha, Yejin Choi, Jianfeng Gao:
Go Figure! A Meta Evaluation of Factuality in Summarization. CoRR abs/2010.12834 (2020) - [i112]Chenyan Xiong, Zhenghao Liu, Si Sun, Zhuyun Dai, Kaitao Zhang, Shi Yu, Zhiyuan Liu, Hoifung Poon, Jianfeng Gao, Paul Bennett:
CMT in TREC-COVID Round 2: Mitigating the Generalization Gaps from Web to Special Domain Search. CoRR abs/2011.01580 (2020) - [i111]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. CoRR abs/2011.06486 (2020) - [i110]Hassan Akbari, Hamid Palangi, Jianwei Yang, Sudha Rao, Asli Celikyilmaz, Roland Fernandez, Paul Smolensky, Jianfeng Gao, Shih-Fu Chang:
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language. CoRR abs/2011.09530 (2020) - [i109]Jianfeng Wang, Xiaowei Hu, Pengchuan Zhang, Xiujun Li, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu:
MiniVLM: A Smaller and Faster Vision-Language Model. CoRR abs/2012.06946 (2020) - [i108]Chunyuan Li, Xiujun Li, Lei Zhang, Baolin Peng, Mingyuan Zhou, Jianfeng Gao:
Self-supervised Pre-training with Hard Examples Improves Visual Representations. CoRR abs/2012.13493 (2020) - [i107]Baolin Peng, Chunyuan Li, Zhu Zhang, Chenguang Zhu, Jinchao Li, Jianfeng Gao:
RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems. CoRR abs/2012.14666 (2020) - [i106]Jiaxin Huang, Chunyuan Li, Krishan Subudhi, Damien Jose, Shobana Balakrishnan, Weizhu Chen, Baolin Peng, Jianfeng Gao, Jiawei Han:
Few-Shot Named Entity Recognition: A Comprehensive Study. CoRR abs/2012.14978 (2020)
2010 – 2019
- 2019
- [j13]Jianfeng Gao, Michel Galley, Lihong Li:
Neural Approaches to Conversational AI. Found. Trends Inf. Retr. 13(2-3): 127-298 (2019) - [c172]Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. AAAI 2019: 2547-2554 - [c171]Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-Based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. AAAI 2019: 7289-7296 - [c170]Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. ACL (3) 2019: 64-69 - [c169]Vighnesh Leonardo Shiv, Chris Quirk, Anshuman Suri, Xiang Gao, Khuram Shahid, Nithya Govindarajan, Yizhe Zhang, Jianfeng Gao, Michel Galley, Chris Brockett, Tulasi Menon, Bill Dolan:
Microsoft Icecaps: An Open-Source Toolkit for Conversation Modeling. ACL (3) 2019: 123-128 - [c168]Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. ACL (1) 2019: 2079-2089 - [c167]Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. ACL (1) 2019: 3742-3751 - [c166]Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
Multi-Task Deep Neural Networks for Natural Language Understanding. ACL (1) 2019: 4487-4496 - [c165]Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. ACL (1) 2019: 5427-5436 - [c164]Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. ACL (1) 2019: 6463-6474 - [c163]Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao:
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. BioNLP@ACL 2019: 399-405 - [c162]Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. CIKM 2019: 1341-1350 - [c161]Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. CVPR 2019: 6329-6338 - [c160]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CVPR 2019: 6629-6638 - [c159]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-And-Language Navigation. CVPR 2019: 6741-6749 - [c158]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-Driven Text-To-Image Synthesis via Adversarial Training. CVPR 2019: 12174-12182 - [c157]Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao:
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. EMNLP/IJCNLP (1) 2019: 1475-1480 - [c156]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. EMNLP/IJCNLP (1) 2019: 1494-1499 - [c155]Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
Structuring Latent Spaces for Stylized Response Generation. EMNLP/IJCNLP (1) 2019: 1814-1823 - [c154]Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao:
TIGEr: Text-to-Image Grounding for Image Caption Evaluation. EMNLP/IJCNLP (1) 2019: 2141-2152 - [c153]Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang:
Adversarial Domain Adaptation for Machine Reading Comprehension. EMNLP/IJCNLP (1) 2019: 2510-2520 - [c152]Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen:
Implicit Deep Latent Variable Models for Text Generation. EMNLP/IJCNLP (1) 2019: 3944-3954 - [c151]Jianfeng Gao:
Towards an Open-Doman Dialog System. ICTIR 2019: 1-2 - [c150]Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin:
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. NAACL-HLT (1) 2019: 240-250 - [c149]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. NAACL-HLT (1) 2019: 882-891 - [c148]Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Jointly Optimizing Diversity and Relevance in Neural Response Generation. NAACL-HLT (1) 2019: 1229-1238 - [c147]Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao:
Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension. NAACL-HLT (1) 2019: 2644-2655 - [c146]Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. NeurIPS 2019: 13042-13054 - [i105]Koichiro Yoshino, Chiori Hori, Julien Perez, Luis Fernando D'Haro, Lazaros Polymenakos, R. Chulaka Gunasekara, Walter S. Lasecki, Jonathan K. Kummerfeld, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan, Xiang Gao, Huda AlAmri, Tim K. Marks, Devi Parikh, Dhruv Batra:
Dialog System Technology Challenge 7. CoRR abs/1901.03461 (2019) - [i104]Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
Multi-Task Deep Neural Networks for Natural Language Understanding. CoRR abs/1901.11504 (2019) - [i103]Dinghan Shen, Asli Celikyilmaz, Yizhe Zhang, Liqun Chen, Xin Wang, Jianfeng Gao, Lawrence Carin:
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models. CoRR abs/1902.00154 (2019) - [i102]Zhe Gan, Yu Cheng, Ahmed El Kholy, Linjie Li, Jingjing Liu, Jianfeng Gao:
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog. CoRR abs/1902.00579 (2019) - [i101]Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao:
Object-driven Text-to-Image Synthesis via Adversarial Training. CoRR abs/1902.10740 (2019) - [i100]Xiang Gao, Sungjin Lee, Yizhe Zhang, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Jointly Optimizing Diversity and Relevance in Neural Response Generation. CoRR abs/1902.11205 (2019) - [i99]Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha S. Srinivasa:
Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation. CoRR abs/1903.02547 (2019) - [i98]Yizhe Zhang, Xiang Gao, Sungjin Lee, Chris Brockett, Michel Galley, Jianfeng Gao, Bill Dolan:
Consistent Dialogue Generation with Self-supervised Feature Learning. CoRR abs/1903.05759 (2019) - [i97]Hao Fu, Chunyuan Li, Xiaodong Liu, Jianfeng Gao, Asli Celikyilmaz, Lawrence Carin:
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing. CoRR abs/1903.10145 (2019) - [i96]Shuohang Wang, Sheng Zhang, Yelong Shen, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Jing Jiang:
Unsupervised Deep Structured Semantic Models for Commonsense Reasoning. CoRR abs/1904.01938 (2019) - [i95]Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. CoRR abs/1904.08637 (2019) - [i94]Liu Yang, Junjie Hu, Minghui Qiu, Chen Qu, Jianfeng Gao, W. Bruce Croft, Xiaodong Liu, Yelong Shen, Jingjing Liu:
A Hybrid Retrieval-Generation Neural Conversation Model. CoRR abs/1904.09068 (2019) - [i93]Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao:
Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding. CoRR abs/1904.09482 (2019) - [i92]Li Dong, Nan Yang, Wenhui Wang, Furu Wei, Xiaodong Liu, Yu Wang, Jianfeng Gao, Ming Zhou, Hsiao-Wuen Hon:
Unified Language Model Pre-training for Natural Language Understanding and Generation. CoRR abs/1905.03197 (2019) - [i91]Minlie Huang, Xiaoyan Zhu, Jianfeng Gao:
Challenges in Building Intelligent Open-domain Dialog Systems. CoRR abs/1905.05709 (2019) - [i90]Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen:
Budgeted Policy Learning for Task-Oriented Dialogue Systems. CoRR abs/1906.00499 (2019) - [i89]Lianhui Qin, Michel Galley, Chris Brockett, Xiaodong Liu, Xiang Gao, Bill Dolan, Yejin Choi, Jianfeng Gao:
Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading. CoRR abs/1906.02738 (2019) - [i88]Sam Lobel, Chunyuan Li, Jianfeng Gao, Lawrence Carin:
Towards Amortized Ranking-Critical Training for Collaborative Filtering. CoRR abs/1906.04281 (2019) - [i87]Yichong Xu, Xiaodong Liu, Chunyuan Li, Hoifung Poon, Jianfeng Gao:
DoubleTransfer at MEDIQA 2019: Multi-Source Transfer Learning for Natural Language Understanding in the Medical Domain. CoRR abs/1906.04382 (2019) - [i86]Jianfeng Gao, Qiang Wu, Chris Burges, Krysta M. Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou:
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. CoRR abs/1907.09471 (2019) - [i85]Pengcheng He, Xiaodong Liu, Weizhu Chen, Jianfeng Gao:
A Hybrid Neural Network Model for Commonsense Reasoning. CoRR abs/1907.11983 (2019) - [i84]Liyuan Liu, Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Jiawei Han:
On the Variance of the Adaptive Learning Rate and Beyond. CoRR abs/1908.03265 (2019) - [i83]Huazheng Wang, Zhe Gan, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Hongning Wang:
Adversarial Domain Adaptation for Machine Reading Comprehension. CoRR abs/1908.09209 (2019) - [i82]Le Fang, Chunyuan Li, Jianfeng Gao, Wen Dong, Changyou Chen:
Implicit Deep Latent Variable Models for Text Generation. CoRR abs/1908.11527 (2019) - [i81]Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao:
TIGEr: Text-to-Image Grounding for Image Caption Evaluation. CoRR abs/1909.02050 (2019) - [i80]Ming Jiang, Junjie Hu, Qiuyuan Huang, Lei Zhang, Jana Diesner, Jianfeng Gao:
REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning. CoRR abs/1909.02217 (2019) - [i79]Xiujun Li, Chunyuan Li, Qiaolin Xia, Yonatan Bisk, Asli Celikyilmaz, Jianfeng Gao, Noah A. Smith, Yejin Choi:
Robust Navigation with Language Pretraining and Stochastic Sampling. CoRR abs/1909.02244 (2019) - [i78]Junjie Hu, Yu Cheng, Zhe Gan, Jingjing Liu, Jianfeng Gao, Graham Neubig:
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling. CoRR abs/1909.05316 (2019) - [i77]Xiang Gao, Yizhe Zhang, Sungjin Lee, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
Structuring Latent Spaces for Stylized Response Generation. CoRR abs/1909.05361 (2019) - [i76]Kuang-Huei Lee, Hamid Palangi, Xi Chen, Houdong Hu, Jianfeng Gao:
Learning Visual Relation Priors for Image-Text Matching and Image Captioning with Neural Scene Graph Generators. CoRR abs/1909.09953 (2019) - [i75]Luowei Zhou, Hamid Palangi, Lei Zhang, Houdong Hu, Jason J. Corso, Jianfeng Gao:
Unified Vision-Language Pre-Training for Image Captioning and VQA. CoRR abs/1909.11059 (2019) - [i74]Kezhen Chen, Qiuyuan Huang, Hamid Palangi, Paul Smolensky, Kenneth D. Forbus, Jianfeng Gao:
Natural- to formal-language generation using Tensor Product Representations. CoRR abs/1910.02339 (2019) - [i73]Imanol Schlag, Paul Smolensky, Roland Fernandez, Nebojsa Jojic, Jürgen Schmidhuber, Jianfeng Gao:
Enhancing the Transformer with Explicit Relational Encoding for Math Problem Solving. CoRR abs/1910.06611 (2019) - [i72]Mehrad Moradshahi, Hamid Palangi, Monica S. Lam, Paul Smolensky, Jianfeng Gao:
HUBERT Untangles BERT to Improve Transfer across NLP Tasks. CoRR abs/1910.12647 (2019) - [i71]Yizhe Zhang, Siqi Sun, Michel Galley, Yen-Chun Chen, Chris Brockett, Xiang Gao, Jianfeng Gao, Jingjing Liu, Bill Dolan:
DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation. CoRR abs/1911.00536 (2019) - [i70]Woon Sang Cho, Yizhe Zhang, Sudha Rao, Asli Celikyilmaz, Chenyan Xiong, Jianfeng Gao, Mengdi Wang, Bill Dolan:
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator. CoRR abs/1911.03047 (2019) - [i69]Haoming Jiang, Pengcheng He, Weizhu Chen, Xiaodong Liu, Jianfeng Gao, Tuo Zhao:
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization. CoRR abs/1911.03437 (2019) - [i68]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
The Eighth Dialog System Technology Challenge. CoRR abs/1911.06394 (2019) - [i67]Yonatan Bisk, Rowan Zellers, Ronan Le Bras, Jianfeng Gao, Yejin Choi:
PIQA: Reasoning about Physical Commonsense in Natural Language. CoRR abs/1911.11641 (2019) - 2018
- [c145]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. AAAI 2018: 5110-5117 - [c144]Zachary C. Lipton, Xiujun Li, Jianfeng Gao, Lihong Li, Faisal Ahmed, Li Deng:
BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems. AAAI 2018: 5237-5244 - [c143]Jianfeng Gao, Michel Galley, Lihong Li:
Neural Approaches to Conversational AI. ACL (5) 2018: 2-7 - [c142]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. ACL (1) 2018: 1694-1704 - [c141]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong:
Deep Dyna-Q: Integrating Planning for Task-Completion Dialogue Policy Learning. ACL (1) 2018: 2182-2192 - [c140]Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu:
Language-Based Image Editing With Recurrent Attentive Models. CVPR 2018: 8721-8729 - [c139]Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara:
Subgoal Discovery for Hierarchical Dialogue Policy Learning. EMNLP 2018: 2298-2309 - [c138]Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen:
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. EMNLP 2018: 3813-3823 - [c137]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong:
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. ICASSP 2018: 6149-6153 - [c136]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. ICLR (Workshop) 2018 - [c135]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. NAACL-HLT 2018: 173-184 - [c134]Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan:
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization. NeurIPS 2018: 1815-1825 - [c133]Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He:
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. NeurIPS 2018: 6311-6322 - [c132]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NeurIPS 2018: 6787-6798 - [c131]Jianfeng Gao, Michel Galley, Lihong Li:
Neural Approaches to Conversational AI. SIGIR 2018: 1371-1374 - [i66]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Kam-Fai Wong:
Integrating planning for task-completion dialogue policy learning. CoRR abs/1801.06176 (2018) - [i65]Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao:
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR abs/1802.04394 (2018) - [i64]Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara:
Subgoal Discovery for Hierarchical Dialogue Policy Learning. CoRR abs/1804.07855 (2018) - [i63]Xiaodong Liu, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Natural Language Inference. CoRR abs/1804.07888 (2018) - [i62]Antoine Bosselut, Asli Celikyilmaz, Xiaodong He, Jianfeng Gao, Po-Sen Huang, Yejin Choi:
Discourse-Aware Neural Rewards for Coherent Text Generation. CoRR abs/1805.03766 (2018) - [i61]Minjia Zhang, Xiaodong Liu, Wenhan Wang, Jianfeng Gao, Yuxiong He:
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. CoRR abs/1806.04189 (2018) - [i60]Ryan Y. Benmalek, Claire Cardie, Serge J. Belongie, Xiaodong He, Jianfeng Gao:
The Neural Painter: Multi-Turn Image Generation. CoRR abs/1806.06183 (2018) - [i59]Xiujun Li, Sarah Panda, Jingjing Liu, Jianfeng Gao:
Microsoft Dialogue Challenge: Building End-to-End Task-Completion Dialogue Systems. CoRR abs/1807.11125 (2018) - [i58]Ziyu Yao, Xiujun Li, Jianfeng Gao, Brian M. Sadler, Huan Sun:
Interactive Semantic Parsing for If-Then Recipes via Hierarchical Reinforcement Learning. CoRR abs/1808.06740 (2018) - [i57]Shang-Yu Su, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen:
Discriminative Deep Dyna-Q: Robust Planning for Dialogue Policy Learning. CoRR abs/1808.09442 (2018) - [i56]Yizhe Zhang, Michel Galley, Jianfeng Gao, Zhe Gan, Xiujun Li, Chris Brockett, Bill Dolan:
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization. CoRR abs/1809.05972 (2018) - [i55]Yichong Xu, Xiaodong Liu, Yelong Shen, Jingjing Liu, Jianfeng Gao:
Multi-Task Learning for Machine Reading Comprehension. CoRR abs/1809.06963 (2018) - [i54]Jianfeng Gao, Michel Galley, Lihong Li:
Neural Approaches to Conversational AI. CoRR abs/1809.08267 (2018) - [i53]Xiaodong Liu, Wei Li, Yuwei Fang, Aerin Kim, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for SQuAD 2.0. CoRR abs/1809.09194 (2018) - [i52]Sheng Zhang, Xiaodong Liu, Jingjing Liu, Jianfeng Gao, Kevin Duh, Benjamin Van Durme:
ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension. CoRR abs/1810.12885 (2018) - [i51]Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Mengdi Wang, Jianfeng Gao:
A bird's-eye view on coherence, and a worm's-eye view on cohesion. CoRR abs/1811.00511 (2018) - [i50]Yuexin Wu, Xiujun Li, Jingjing Liu, Jianfeng Gao, Yiming Yang:
Switch-based Active Deep Dyna-Q: Efficient Adaptive Planning for Task-Completion Dialogue Policy Learning. CoRR abs/1811.07550 (2018) - [i49]Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang:
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation. CoRR abs/1811.10092 (2018) - [i48]Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David E. Carlson, Jianfeng Gao:
StoryGAN: A Sequential Conditional GAN for Story Visualization. CoRR abs/1812.02784 (2018) - [i47]Yu Cheng, Zhe Gan, Yitong Li, Jingjing Liu, Jianfeng Gao:
Sequential Attention GAN for Interactive Image Editing via Dialogue. CoRR abs/1812.08352 (2018) - [i46]Li Zhou, Jianfeng Gao, Di Li, Heung-Yeung Shum:
The Design and Implementation of XiaoIce, an Empathetic Social Chatbot. CoRR abs/1812.08989 (2018) - 2017
- [c130]Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng:
Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access. ACL (1) 2017: 484-495 - [c129]Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, Jianfeng Gao:
A Nested Attention Neural Hybrid Model for Grammatical Error Correction. ACL (1) 2017: 753-762 - [c128]Zhen Liao, Xinying Song, Yelong Shen, Saekoo Lee, Jianfeng Gao, Ciya Liao:
Deep Context Modeling for Web Query Entity Disambiguation. CIKM 2017: 1757-1765 - [c127]Chuang Gan, Zhe Gan, Xiaodong He, Jianfeng Gao, Li Deng:
StyleNet: Generating Attractive Visual Captions with Styles. CVPR 2017: 955-964 - [c126]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CVPR 2017: 1141-1150 - [c125]Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong:
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning. EMNLP 2017: 2231-2240 - [c124]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level deep conflation for business data analytics. ICASSP 2017: 2222-2226 - [c123]Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tür, Paul A. Crook, Xiujun Li, Jianfeng Gao, Li Deng:
End-to-end joint learning of natural language understanding and dialogue manager. ICASSP 2017: 5690-5694 - [c122]Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley:
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. ICLR (Poster) 2017 - [c121]Yun-Nung Chen, Jianfeng Gao:
Open-Domain Neural Dialogue Systems. IJCNLP (Tutorial Abstracts) 2017: 6-10 - [c120]Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios P. Spithourakis, Lucy Vanderwende:
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation. IJCNLP(1) 2017: 462-472 - [c119]Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, Michel Galley:
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models. IJCNLP(1) 2017: 605-614 - [c118]Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao, Asli Celikyilmaz:
End-to-End Task-Completion Neural Dialogue Systems. IJCNLP(1) 2017: 733-743 - [c117]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. IJCNLP(1) 2017: 957-966 - [c116]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. KDD 2017: 1047-1055 - [c115]Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao:
Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. Rep4NLP@ACL 2017: 57-68 - [i45]Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios P. Spithourakis, Lucy Vanderwende:
Image-Grounded Conversations: Multimodal Context for Natural Question and Response Generation. CoRR abs/1701.08251 (2017) - [i44]Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley:
A Knowledge-Grounded Neural Conversation Model. CoRR abs/1702.01932 (2017) - [i43]Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng:
Character-level Deep Conflation for Business Data Analytics. CoRR abs/1702.02640 (2017) - [i42]Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao:
End-to-End Task-Completion Neural Dialogue Systems. CoRR abs/1703.01008 (2017) - [i41]Xiujun Li, Yun-Nung Chen, Lihong Li, Jianfeng Gao, Asli Celikyilmaz:
Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems. CoRR abs/1703.07055 (2017) - [i40]Baolin Peng, Xiujun Li, Lihong Li, Jianfeng Gao, Asli Celikyilmaz, Sungjin Lee, Kam-Fai Wong:
Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning. CoRR abs/1704.03084 (2017) - [i39]Jianshu Ji, Qinlong Wang, Kristina Toutanova, Yongen Gong, Steven Truong, Jianfeng Gao:
A Nested Attention Neural Hybrid Model for Grammatical Error Correction. CoRR abs/1707.02026 (2017) - [i38]Yi Luan, Chris Brockett, Bill Dolan, Jianfeng Gao, Michel Galley:
Multi-Task Learning for Speaker-Role Adaptation in Neural Conversation Models. CoRR abs/1710.07388 (2017) - [i37]Baolin Peng, Xiujun Li, Jianfeng Gao, Jingjing Liu, Yun-Nung Chen, Kam-Fai Wong:
Adversarial Advantage Actor-Critic Model for Task-Completion Dialogue Policy Learning. CoRR abs/1710.11277 (2017) - [i36]Yelong Shen, Xiaodong Liu, Kevin Duh, Jianfeng Gao:
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks. CoRR abs/1711.03230 (2017) - [i35]Yichong Xu, Jingjing Liu, Jianfeng Gao, Yelong Shen, Xiaodong Liu:
Towards Human-level Machine Reading Comprehension: Reasoning and Inference with Multiple Strategies. CoRR abs/1711.04964 (2017) - [i34]Jianbo Chen, Yelong Shen, Jianfeng Gao, Jingjing Liu, Xiaodong Liu:
Language-Based Image Editing with Recurrent Attentive Models. CoRR abs/1711.06288 (2017) - [i33]Xiaodong Liu, Yelong Shen, Kevin Duh, Jianfeng Gao:
Stochastic Answer Networks for Machine Reading Comprehension. CoRR abs/1712.03556 (2017) - 2016
- [j12]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24(4): 694-707 (2016) - [c114]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with a Natural Language Action Space. ACL (1) 2016 - [c113]Jiwei Li, Michel Galley, Chris Brockett, Georgios P. Spithourakis, Jianfeng Gao, William B. Dolan:
A Persona-Based Neural Conversation Model. ACL (1) 2016 - [c112]Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola:
Stacked Attention Networks for Image Question Answering. CVPR 2016: 21-29 - [c111]Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao:
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. ECCV (3) 2016: 87-102 - [c110]Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao:
MS-Celeb-1M: Challenge of Recognizing One Million Celebrities in the Real World. IMAWM 2016: 1-6 - [c109]Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, Jianfeng Gao:
Deep Reinforcement Learning for Dialogue Generation. EMNLP 2016: 1192-1202 - [c108]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. EMNLP 2016: 1838-1848 - [c107]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. EMNLP 2016: 2204-2214 - [c106]Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng:
Interpreting the prediction process of a deep network constructed from supervised topic models. ICASSP 2016: 2429-2433 - [c105]Dilek Hakkani-Tür, Gökhan Tür, Asli Celikyilmaz, Yun-Nung Chen, Jianfeng Gao, Li Deng, Ye-Yi Wang:
Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM. INTERSPEECH 2016: 715-719 - [c104]Yun-Nung Chen, Dilek Hakkani-Tür, Gökhan Tür, Jianfeng Gao, Li Deng:
End-to-End Memory Networks with Knowledge Carryover for Multi-Turn Spoken Language Understanding. INTERSPEECH 2016: 3245-3249 - [c103]Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
A Diversity-Promoting Objective Function for Neural Conversation Models. HLT-NAACL 2016: 110-119 - [c102]Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng:
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoCo@NIPS 2016 - [c101]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoCo@NIPS 2016 - [c100]Zhiwei Zhang, Qifan Wang, Luo Si, Jianfeng Gao:
Learning for Efficient Supervised Query Expansion via Two-stage Feature Selection. SIGIR 2016: 265-274 - [c99]Yun-Nung Chen, Dilek Hakanni-Tur, Gökhan Tür, Asli Celikyilmaz, Jianfeng Gao, Li Deng:
Syntax or semantics? knowledge-guided joint semantic frame parsing. SLT 2016: 348-355 - [c98]Amit Goyal, Jianfeng Gao, Hongbo Deng, Yi Chang:
Query Understanding for Search on All Devices at WSDM 2016. WSDM 2016: 691-692 - [c97]Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng, Paul Smolensky:
Reasoning in Vector Space: An Exploratory Study of Question Answering. ICLR (Poster) 2016 - [i32]Paul Smolensky, Moontae Lee, Xiaodong He, Wen-tau Yih, Jianfeng Gao, Li Deng:
Basic Reasoning with Tensor Product Representations. CoRR abs/1601.02745 (2016) - [i31]Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
A Persona-Based Neural Conversation Model. CoRR abs/1603.06155 (2016) - [i30]Jiwei Li, Will Monroe, Alan Ritter, Michel Galley, Jianfeng Gao, Dan Jurafsky:
Deep Reinforcement Learning for Dialogue Generation. CoRR abs/1606.01541 (2016) - [i29]Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng:
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. CoRR abs/1606.03667 (2016) - [i28]Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng:
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR abs/1606.04646 (2016) - [i27]Yandong Guo, Lei Zhang, Yuxiao Hu, Xiaodong He, Jianfeng Gao:
MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition. CoRR abs/1607.08221 (2016) - [i26]Hao Cheng, Hao Fang, Xiaodong He, Jianfeng Gao, Li Deng:
Bi-directional Attention with Agreement for Dependency Parsing. CoRR abs/1608.02076 (2016) - [i25]Zachary C. Lipton, Jianfeng Gao, Lihong Li, Xiujun Li, Faisal Ahmed, Li Deng:
Efficient Exploration for Dialog Policy Learning with Deep BBQ Networks \& Replay Buffer Spiking. CoRR abs/1608.05081 (2016) - [i24]Bhuwan Dhingra, Lihong Li, Xiujun Li, Jianfeng Gao, Yun-Nung Chen, Faisal Ahmed, Li Deng:
End-to-End Reinforcement Learning of Dialogue Agents for Information Access. CoRR abs/1609.00777 (2016) - [i23]Yun-Nung Chen, Dilek Hakkani-Tür, Gökhan Tür, Asli Celikyilmaz, Jianfeng Gao, Li Deng:
Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks. CoRR abs/1609.03286 (2016) - [i22]Yelong Shen, Po-Sen Huang, Jianfeng Gao, Weizhu Chen:
ReasoNet: Learning to Stop Reading in Machine Comprehension. CoRR abs/1609.05284 (2016) - [i21]Zachary C. Lipton, Jianfeng Gao, Lihong Li, Jianshu Chen, Li Deng:
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. CoRR abs/1611.01211 (2016) - [i20]Adji B. Dieng, Chong Wang, Jianfeng Gao, John W. Paisley:
TopicRNN: A Recurrent Neural Network with Long-Range Semantic Dependency. CoRR abs/1611.01702 (2016) - [i19]Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao:
Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR abs/1611.04642 (2016) - [i18]Zhe Gan, Chuang Gan, Xiaodong He, Yunchen Pu, Kenneth Tran, Jianfeng Gao, Lawrence Carin, Li Deng:
Semantic Compositional Networks for Visual Captioning. CoRR abs/1611.08002 (2016) - [i17]Tri Nguyen, Mir Rosenberg, Xia Song, Jianfeng Gao, Saurabh Tiwary, Rangan Majumder, Li Deng:
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset. CoRR abs/1611.09268 (2016) - [i16]Xuesong Yang, Yun-Nung Chen, Dilek Hakkani-Tür, Paul A. Crook, Xiujun Li, Jianfeng Gao, Li Deng:
End-to-End Joint Learning of Natural Language Understanding and Dialogue Manager. CoRR abs/1612.00913 (2016) - [i15]Xiujun Li, Zachary C. Lipton, Bhuwan Dhingra, Lihong Li, Jianfeng Gao, Yun-Nung Chen:
A User Simulator for Task-Completion Dialogues. CoRR abs/1612.05688 (2016) - 2015
- [c96]Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan:
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. ACL (2) 2015: 445-450 - [c95]Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao:
Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. ACL (1) 2015: 1321-1331 - [c94]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From captions to visual concepts and back. CVPR 2015: 1473-1482 - [c93]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops 2015: 631-638 - [c92]Wen-tau Yih, Xiaodong He, Jianfeng Gao:
Deep Learning and Continuous Representations for Natural Language Processing. HLT-NAACL 2015: 6-8 - [c91]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan:
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. HLT-NAACL 2015: 196-205 - [c90]Xiaodong Liu, Jianfeng Gao, Xiaodong He, Li Deng, Kevin Duh, Ye-Yi Wang:
Representation Learning Using Multi-Task Deep Neural Networks for Semantic Classification and Information Retrieval. HLT-NAACL 2015: 912-921 - [c89]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. NIPS 2015: 1765-1773 - [c88]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Embedding Entities and Relations for Learning and Inference in Knowledge Bases. ICLR (Poster) 2015 - [i14]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR abs/1502.06922 (2015) - [i13]Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng:
A Deep Embedding Model for Co-occurrence Learning. CoRR abs/1504.02824 (2015) - [i12]Alessandro Sordoni, Michel Galley, Michael Auli, Chris Brockett, Yangfeng Ji, Margaret Mitchell, Jian-Yun Nie, Jianfeng Gao, Bill Dolan:
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses. CoRR abs/1506.06714 (2015) - [i11]Michel Galley, Chris Brockett, Alessandro Sordoni, Yangfeng Ji, Michael Auli, Chris Quirk, Margaret Mitchell, Jianfeng Gao, Bill Dolan:
deltaBLEU: A Discriminative Metric for Generation Tasks with Intrinsically Diverse Targets. CoRR abs/1506.06863 (2015) - [i10]Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng:
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR abs/1508.03398 (2015) - [i9]Xiujun Li, Lihong Li, Jianfeng Gao, Xiaodong He, Jianshu Chen, Li Deng, Ji He:
Recurrent Reinforcement Learning: A Hybrid Approach. CoRR abs/1509.03044 (2015) - [i8]Jiwei Li, Michel Galley, Chris Brockett, Jianfeng Gao, Bill Dolan:
A Diversity-Promoting Objective Function for Neural Conversation Models. CoRR abs/1510.03055 (2015) - [i7]Zichao Yang, Xiaodong He, Jianfeng Gao, Li Deng, Alexander J. Smola:
Stacked Attention Networks for Image Question Answering. CoRR abs/1511.02274 (2015) - [i6]Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf:
Deep Reinforcement Learning with an Unbounded Action Space. CoRR abs/1511.04636 (2015) - 2014
- [c87]Tianbing Xu, Jianfeng Gao, Lin Xiao, Amelia C. Regan:
Online Classification Using a Voted RDA Method. AAAI 2014: 2170-2176 - [c86]Michael Auli, Jianfeng Gao:
Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models. ACL (2) 2014: 136-142 - [c85]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Continuous Phrase Representations for Translation Modeling. ACL (1) 2014: 699-709 - [c84]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
A Latent Semantic Model with Convolutional-Pooling Structure for Information Retrieval. CIKM 2014: 101-110 - [c83]Yuening Hu, Michael Auli, Qin Gao, Jianfeng Gao:
Minimum Translation Modeling with Recurrent Neural Networks. EACL 2014: 20-29 - [c82]Jianfeng Gao, Patrick Pantel, Michael Gamon, Xiaodong He, Li Deng:
Modeling Interestingness with Deep Neural Networks. EMNLP 2014: 2-13 - [c81]Michael Auli, Michel Galley, Jianfeng Gao:
Large-scale Expected BLEU Training of Phrase-based Reordering Models. EMNLP 2014: 1250-1260 - [c80]Yelong Shen, Xiaodong He, Jianfeng Gao, Li Deng, Grégoire Mesnil:
Learning semantic representations using convolutional neural networks for web search. WWW (Companion Volume) 2014: 373-374 - [i5]Bishan Yang, Wen-tau Yih, Xiaodong He, Jianfeng Gao, Li Deng:
Learning Multi-Relational Semantics Using Neural-Embedding Models. CoRR abs/1411.4072 (2014) - [i4]Hao Fang, Saurabh Gupta, Forrest N. Iandola, Rupesh Kumar Srivastava, Li Deng, Piotr Dollár, Jianfeng Gao, Xiaodong He, Margaret Mitchell, John C. Platt, C. Lawrence Zitnick, Geoffrey Zweig:
From Captions to Visual Concepts and Back. CoRR abs/1411.4952 (2014) - [i3]Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward:
Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR abs/1412.6629 (2014) - 2013
- [c79]Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng, Alex Acero, Larry P. Heck:
Learning deep structured semantic models for web search using clickthrough data. CIKM 2013: 2333-2338 - [c78]Li Deng, Xiaodong He, Jianfeng Gao:
Deep stacking networks for information retrieval. ICASSP 2013: 3153-3157 - [c77]Jennifer Gillenwater, Xiaodong He, Jianfeng Gao, Li Deng:
End-to-end learning of parsing models for information retrieval. ICASSP 2013: 3312-3316 - [c76]Hui Zhang, Kristina Toutanova, Chris Quirk, Jianfeng Gao:
Beyond Left-to-Right: Multiple Decomposition Structures for SMT. HLT-NAACL 2013: 12-21 - [c75]Jianfeng Gao, Xiaodong He:
Training MRF-Based Phrase Translation Models using Gradient Ascent. HLT-NAACL 2013: 450-459 - [c74]Jagadeesh Jagarlamudi, Jianfeng Gao:
Modeling click-through based word-pairs for web search. SIGIR 2013: 483-492 - [c73]Jianfeng Gao, Gu Xu, Jinxi Xu:
Query expansion using path-constrained random walks. SIGIR 2013: 563-572 - [i2]Tianbing Xu, Jianfeng Gao, Lin Xiao, Amelia Regan:
Online Classification Using a Voted RDA Method. CoRR abs/1310.5007 (2013) - [i1]Jianfeng Gao, Xiaodong He, Wen-tau Yih, Li Deng:
Learning Semantic Representations for the Phrase Translation Model. CoRR abs/1312.0482 (2013) - 2012
- [c72]Kristen Parton, Jianfeng Gao:
Combining Signals for Cross-Lingual Relevance Feedback. AIRS 2012: 356-365 - [c71]Hisami Suzuki, Jianfeng Gao:
A Unified Approach to Transliteration-based Text Input with Online Spelling Correction. EMNLP-CoNLL 2012: 609-618 - [c70]Jianfeng Gao, Shasha Xie, Xiaodong He, Alnur Ali:
Learning Lexicon Models from Search Logs for Query Expansion. EMNLP-CoNLL 2012: 666-676 - [c69]Chris Quirk, Pallavi Choudhury, Jianfeng Gao, Hisami Suzuki, Kristina Toutanova, Michael Gamon, Wen-tau Yih, Colin Cherry, Lucy Vanderwende:
MSR SPLAT, a language analysis toolkit. HLT-NAACL 2012: 21-24 - [c68]Jagadeesh Jagarlamudi, Jianfeng Gao:
Modeling click-through based word-pairs for web search. WWW (Companion Volume) 2012: 537-538 - [p1]Jian-Yun Nie, Jianfeng Gao, Guihong Cao:
Translingual Mining from Text Data. Mining Text Data 2012: 323-359 - 2011
- [c67]Amittai Axelrod, Xiaodong He, Jianfeng Gao:
Domain Adaptation via Pseudo In-Domain Data Selection. EMNLP 2011: 355-362 - [c66]Jianfeng Gao, Kristina Toutanova, Wen-tau Yih:
Clickthrough-based latent semantic models for web search. SIGIR 2011: 675-684 - 2010
- [j11]Qiang Wu, Christopher J. C. Burges, Krysta M. Svore, Jianfeng Gao:
Adapting boosting for information retrieval measures. Inf. Retr. 13(3): 254-270 (2010) - [c65]Xu Sun, Jianfeng Gao, Daniel Micol, Chris Quirk:
Learning Phrase-Based Spelling Error Models from Clickthrough Data. ACL 2010: 266-274 - [c64]Jianfeng Gao, Xiaodong He, Jian-Yun Nie:
Clickthrough-based translation models for web search: from word models to phrase models. CIKM 2010: 1139-1148 - [c63]Alex Cheng, Fei Xia, Jianfeng Gao:
A comparison of unsupervised methods for Part-of-Speech Tagging in Chinese. COLING (Posters) 2010: 135-143 - [c62]Jianfeng Gao, Xiaolong Li, Daniel Micol, Chris Quirk, Xu Sun:
A Large Scale Ranker-Based System for Search Query Spelling Correction. COLING 2010: 358-366 - [c61]Chi-Ho Li, Nan Duan, Yinggong Zhao, Shujie Liu, Lei Cui, Mei-Yuh Hwang, Amittai Axelrod, Jianfeng Gao, Yaodong Zhang, Li Deng:
The MSRA machine translation system for IWSLT 2010. IWSLT 2010: 135-138 - [c60]Kuansan Wang, Xiaolong Li, Jianfeng Gao:
Multi-style language model for web scale information retrieval. SIGIR 2010: 467-474 - [c59]Jian Huang, Jianfeng Gao, Jiangbo Miao, Xiaolong Li, Kuansan Wang, Fritz Behr, C. Lee Giles:
Exploring web scale language models for search query processing. WWW 2010: 451-460 - [c58]Sara Javanmardi, Jianfeng Gao, Kuansan Wang:
Optimizing two stage bigram language models for IR. WWW 2010: 1125-1126
2000 – 2009
- 2009
- [j10]Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore:
Improved Monolingual Hypothesis Alignment for Machine Translation System Combination. ACM Trans. Asian Lang. Inf. Process. 8(2): 6:1-6:19 (2009) - [c57]Jianfeng Gao, Qiang Wu, Chris Burges, Krysta M. Svore, Yi Su, Nazan Khan, Shalin Shah, Hongyan Zhou:
Model Adaptation via Model Interpolation and Boosting for Web Search Ranking. EMNLP 2009: 505-513 - [c56]Hisami Suzuki, Xiao Li, Jianfeng Gao:
Discovery of Term Variation in Japanese Web Search Queries. EMNLP 2009: 1484-1492 - [c55]Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian-Yun Nie:
Smoothing clickthrough data for web search ranking. SIGIR 2009: 355-362 - 2008
- [c54]Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann Ney:
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation. COLING 2008: 1017-1024 - [c53]Xiaodong He, Mei Yang, Jianfeng Gao, Patrick Nguyen, Robert Moore:
Indirect-HMM-based Hypothesis Alignment for Combining Outputs from Machine Translation Systems. EMNLP 2008: 98-107 - [c52]Jianfeng Gao, Mark Johnson:
A comparison of Bayesian estimators for unsupervised Hidden Markov Model POS taggers. EMNLP 2008: 344-352 - [c51]Michael Gamon, Jianfeng Gao, Chris Brockett, Alexandre Klementiev, William B. Dolan, Dmitriy Belenko, Lucy Vanderwende:
Using Contextual Speller Techniques and Language Modeling for ESL Error Correction. IJCNLP 2008: 449-456 - [c50]Xing Yi, Jianfeng Gao, William B. Dolan:
A Web-based English Proofing System for English as a Second Language Users. IJCNLP 2008: 619-624 - [c49]Guihong Cao, Jian-Yun Nie, Jianfeng Gao, Stephen Robertson:
Selecting good expansion terms for pseudo-relevance feedback. SIGIR 2008: 243-250 - 2007
- [c48]Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina Toutanova:
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing. ACL 2007 - [c47]Guihong Cao, Jianfeng Gao, Jian-Yun Nie, Jing Bai:
Extending query translation to cross-language query expansion with markov chain models. CIKM 2007: 351-360 - [c46]Kenneth Church, Ted Hart, Jianfeng Gao:
Compressing Trigram Language Models With Golomb Coding. EMNLP-CoNLL 2007: 199-207 - [c45]Galen Andrew, Jianfeng Gao:
Scalable training of L1-regularized log-linear models. ICML 2007: 33-40 - [c44]Guihong Cao, Jianfeng Gao, Jian-Yun Nie:
A system to mine large-scale bilingual dictionaries from monolingual web pages. MTSummit 2007 - 2006
- [j9]Jianfeng Gao, Hisami Suzuki, Wei Yuan:
An empirical study on language model adaptation. ACM Trans. Asian Lang. Inf. Process. 5(3): 209-227 (2006) - [j8]Jianfeng Gao, Jian-Yun Nie, Ming Zhou:
Statistical query translation models for cross-language information retrieval. ACM Trans. Asian Lang. Inf. Process. 5(4): 323-359 (2006) - [c43]Jianfeng Gao, Hisami Suzuki, Bin Yu:
Approximation Lasso Methods for Language Modeling. ACL 2006 - [c42]Lei Shi, Cheng Niu, Ming Zhou, Jianfeng Gao:
A DOM Tree Alignment Model for Mining Parallel Data from the Web. ACL 2006 - [c41]Guoping Hu, Jingjing Liu, Hang Li, Yunbo Cao, Jian-Yun Nie, Jianfeng Gao:
A Supervised Learning Approach to Entity Search. AIRS 2006: 54-66 - [c40]Ying Zhang, Ke Wu, Jianfeng Gao, Phil Vines:
Automatic Acquisition of Chinese-English Parallel Corpus from the Web. ECIR 2006: 420-431 - [c39]Zhengyu Zhou, Jianfeng Gao, Frank K. Soong, Helen Meng:
A Comparative Study of Discriminative Methods for Reranking LVCSR N-Best Hypotheses in Domain Adaptation and Generalization. ICASSP (1) 2006: 141-144 - [c38]Chin-Yew Lin, Guihong Cao, Jianfeng Gao, Jian-Yun Nie:
An Information-Theoretic Approach to Automatic Evaluation of Summaries. HLT-NAACL 2006 - [c37]Jianfeng Gao, Jian-Yun Nie:
A study of statistical models for query translation: finding a good unit of translation. SIGIR 2006: 194-201 - 2005
- [j7]Jianfeng Gao, Mu Li, Changning Huang, Andi Wu:
Chinese Word Segmentation and Named Entity Recognition: A Pragmatic Approach. Comput. Linguistics 31(4): 531-574 (2005) - [c36]Xiaojun Wan, Jianfeng Gao, Mu Li, Binggong Ding:
Person resolution in person search results: WebHawk. CIKM 2005: 163-170 - [c35]Wei Yuan, Jianfeng Gao, Hisami Suzuki:
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity. IJCNLP 2005: 957-968 - [c34]Yaqian Zhou, Changning Huang, Jianfeng Gao, Lide Wu:
Transformation Based Chinese Entity Detection and Tracking. IJCNLP (companion) 2005 - [c33]Jianfeng Gao, Hao Yu, Wei Yuan, Peng Xu:
Minimum Sample Risk Methods for Language Modeling. HLT/EMNLP 2005: 209-216 - [c32]Hisami Suzuki, Jianfeng Gao:
A Comparative Study on Language Model Adaptation Techniques Using New Evaluation Metrics. HLT/EMNLP 2005: 265-272 - [c31]Jianfeng Gao, Haoliang Qi, Xinsong Xia, Jian-Yun Nie:
Linear discriminant model for information retrieval. SIGIR 2005: 290-297 - 2004
- [j6]Jianfeng Gao, Chin-Yew Lin:
Introduction to the special issue on statistical language modeling. ACM Trans. Asian Lang. Inf. Process. 3(2): 87-93 (2004) - [c30]Jianfeng Gao, Andi Wu, Cheng-Ning Huang, Hongqiao Li, Xinsong Xia, Hauwei Qin:
Adaptive Chinese Word Segmentation. ACL 2004: 462-469 - [c29]Xiaoshan Fang, Jianfeng Gao, Huanye Sheng:
A Semi-Supervised Approach to Build Annotated Corpus for Chinese Named Entity Recognition. SIGHAN@ACL 2004 - [c28]Hongqiao Li, Changning Huang, Jianfeng Gao, Xiaozhong Fan:
Chinese Chunking with Another Type of Spec. SIGHAN@ACL 2004 - [c27]Jianfeng Gao, Hisami Suzuki:
Long Distance Dependency in Language Modeling: An Empirical Study. IJCNLP 2004: 396-405 - [c26]Hongqiao Li, Changning Huang, Jianfeng Gao, Xiaozhong Fan:
The Use of SVM for Chinese New Word Identification. IJCNLP 2004: 723-732 - [c25]Jianfeng Gao, Jian-Yun Nie, Guangyuan Wu, Guihong Cao:
Dependence language model for information retrieval. SIGIR 2004: 170-177 - 2003
- [j5]Jian Sun, Ming Zhou, Jianfeng Gao:
A Class-based Language Model Approach to Chinese Named Entity Identification. Int. J. Comput. Linguistics Chin. Lang. Process. 8(2) (2003) - [c24]Jianfeng Gao, Mu Li, Changning Huang:
Improved Source-Channel Models for Chinese Word Segmentation. ACL 2003: 272-279 - [c23]Jianfeng Gao, Hisami Suzuki:
Unsupervised Learning of Dependency Structure for Language Modeling. ACL 2003: 521-528 - [c22]Mu Li, Jianfeng Gao, Changning Huang, Jianfeng Li:
Unsupervised Training for Overlapping Ambiguity Resolution in Chinese Word Segmentation. SIGHAN 2003: 1-7 - [c21]Xiaodan Zhu, Mu Li, Jianfeng Gao, Changning Huang:
Single Character Chinese Named Entity Recognition. SIGHAN 2003: 125-132 - [c20]Xiaoshan Fang, Jianfeng Gao, Jianfeng Li, Huanye Sheng:
Training data optimization for language model adaptation. INTERSPEECH 2003: 1485-1488 - 2002
- [j4]Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang:
Improving Encarta Search Engine Performance by Mining User Logs. Int. J. Pattern Recognit. Artif. Intell. 16(8): 1101-1116 (2002) - [j3]Jianfeng Gao, Joshua Goodman, Mingjing Li, Kai-Fu Lee:
Toward a unified approach to statistical language modeling for Chinese. ACM Trans. Asian Lang. Inf. Process. 1(1): 3-33 (2002) - [c19]Jianfeng Gao, Min Zhang:
Improving Language Model Size Reduction using Better Pruning Criteria. ACL 2002: 176-182 - [c18]Jianfeng Gao, Joshua Goodman, Guihong Cao, Hang Li:
Exploring Asymmetric Clustering for Statistical Language Modeling. ACL 2002: 183-190 - [c17]Hongzhao He, Jianfeng Gao, Pilian He, Changning Huang:
Finding the Better Indexing units for Chinese Information Retrieval. SIGHAN@COLING 2002 - [c16]Jian Sun, Jianfeng Gao, Lei Zhang, Ming Zhou, Changning Huang:
Chinese Named Entity Identification Using Class-based Language Model. COLING 2002 - [c15]Jianfeng Gao, Hisami Suzuki, Yang Wen:
Exploiting Headword Dependency and Predictive Clustering for Language Modeling. EMNLP 2002: 248-256 - [c14]Zhengyu Zhou, Jianfeng Gao, Eric Chang:
Improving language modeling by combining heteogeneous corpora. ISCSLP 2002 - [c13]Hongzhao He, Jianfeng Gao:
NTCIR-3 CLIR Experiments at MSRA. NTCIR 2002 - [c12]Jianfeng Gao, Ming Zhou, Jian-Yun Nie, Hongzhao He, Weijun Chen:
Resolving query translation ambiguity using a decaying co-occurrence model and syntactic dependence relations. SIGIR 2002: 183-190 - 2001
- [j2]Jianfeng Gao, Joshua T. Goodman, Jiangbo Miao:
The Use of Clustering Techniques for Language Modeling-Application to Asian Language. Int. J. Comput. Linguistics Chin. Lang. Process. 6(1) (2001) - [j1]Jian Zhang, Jianfeng Gao, Ming Zhou, Jiaxing Wang:
Improving the Effectiveness of Information Retrieval with Clustering and Fusion. Int. J. Comput. Linguistics Chin. Lang. Process. 6(1) (2001) - [c11]Charles X. Ling, Jianfeng Gao, Huajie Zhang, Weining Qian, HongJiang Zhang:
Mining Generalized Query Patterns from Web Logs. HICSS 2001 - [c10]Jianfeng Gao, Endong Xun, Ming Zhou, Changning Huang, Jian-Yun Nie, Jian Zhang:
Improving Query Translation for Cross-Language Information Retrieval Using Statistical Models. SIGIR 2001: 96-104 - [c9]Jianfeng Gao, Guihong Cao, Hongzhao He, Min Zhang, Jian-Yun Nie, Steve Walker, Stephen E. Robertson:
TREC-10 Web Track Experiments at MSRA. TREC 2001 - 2000
- [c8]Ting Liu, Ming Zhou, Jianfeng Gao, Endong Xun, Changning Huang:
PENS: A Machine-aided English Writing System for Chinese Users. ACL 2000: 529-536 - [c7]Jianfeng Gao, Kai-Fu Lee:
Distribution-Based Pruning of Backoff Language Models. ACL 2000: 579-588 - [c6]Jianfeng Gao, Haifeng Wang, Mingjing Li, Kai-Fu Lee:
A unified approach to statistical language modeling for Chinese. ICASSP 2000: 1703-1706 - [c5]Joshua Goodman, Jianfeng Gao:
Language model size reduction by pruning and clustering. INTERSPEECH 2000: 110-113 - [c4]Jianfeng Gao, Mingjing Li, Kai-Fu Lee:
N-gram distribution based language model adaptation. INTERSPEECH 2000: 497-500 - [c3]Jian-Yun Nie, Jianfeng Gao, Jian Zhang, Ming Zhou:
On the use of words and n-grams for Chinese information retrieval. IRAL 2000: 141-148 - [c2]Jun Zhao, Jianfeng Gao, Eric Chang, Mingjing Li:
Lexicon Optimization for Chinese Language Modeling. ISCSLP 2000 - [c1]Jianfeng Gao, Jian-Yun Nie, Jian Zhang, Endong Xun, Yi Su, Ming Zhou, Changning Huang:
TREC-9 CLIR Experiments at MSRCN. TREC 2000
Coauthor Index
Ahmed Awadallah 0001
aka: Ahmed Hassan Awadallah
aka: Ahmed Hassan Awadallah
[i287] [i275] [c272] [i266] [i244] [c246] [i224] [i222] [c229] [c227] [c226] [c220] [c219] [c217] [c215] [c212] [c203] [i185] [i184] [i183] [i180] [i178] [i165] [i157] [c196] [c192] [c183] [c182] [c176] [i146] [i135] [i134] [i125] [i118] [i106] [c166] [i104] [i93] [i85] [i84] [i69] [c116] [c101] [i22]
[c305] [c302] [c299] [c297] [c291] [i290] [i288] [i287] [i283] [i278] [i276] [j25] [c287] [c285] [c274] [c273] [c270] [c269] [c264] [c262] [i266] [i263] [i259] [i257] [i254] [i253] [i250] [i242] [i241] [i238] [i233] [j19] [c257] [c252] [c250] [c244] [i223] [i213] [i202] [i199] [i196] [i187] [c227] [c210] [c209] [c206] [c205] [i185] [i184] [i177] [i171] [i162] [i160] [i155] [i152] [i151] [c196] [c176] [i146] [i134] [i122] [i115] [c107] [i26]
[c144] [c130] [c127] [c126] [c124] [c123] [i43] [j12] [c114] [c112] [c108] [c107] [c106] [c105] [c104] [c102] [c99] [c97] [i32] [i29] [i28] [i26] [i25] [i24] [i23] [i21] [i18] [i17] [i16] [c94] [c93] [c90] [c89] [c88] [i14] [i13] [i10] [i9] [i7] [i6] [c85] [c84] [c82] [c80] [i5] [i4] [i3] [c79] [c78] [c77] [i1] [c61]
William B. Dolan
aka: Bill Dolan
aka: Bill Dolan
[c297] [c292] [c289] [i307] [i283] [i278] [c288] [c276] [c267] [c264] [c260] [i267] [i266] [i265] [i262] [i259] [i253] [i242] [i237] [c258] [c248] [i207] [i191] [i189] [i188] [j16] [c231] [c230] [c207] [i181] [i176] [c194] [i131] [i114] [j13] [c169] [c165] [c155] [c148] [i105] [i100] [i98] [i89] [i77] [i71] [i68] [c145] [c143] [c134] [c131] [i56] [i54] [i51] [c120] [c119] [i45] [i44] [i38] [c113] [c109] [c103] [i31] [i30] [c96] [c91] [i12] [i11] [i8] [c81]
[c158] [i101] [c135] [i62] [i60] [c127] [c126] [c124] [i43] [j12] [c114] [c112] [c111] [c110] [c108] [c107] [c106] [c97] [i32] [i29] [i28] [i27] [i26] [i18] [c95] [c94] [c93] [c92] [c90] [c89] [c88] [i14] [i13] [i10] [i9] [i7] [i6] [c85] [c84] [c82] [c80] [i5] [i4] [i3] [c79] [c78] [c77] [c75] [i1] [c70] [c67] [c64] [j10] [c53]
[j29] [c306] [c304] [c302] [c301] [c297] [c294] [i309] [i298] [c280] [c279] [c278] [c266] [i269] [i268] [i264] [i262] [i251] [i248] [i247] [i245] [i242] [i240] [i239] [i235] [i233] [i231] [i229] [j20] [c256] [c254] [c253] [c247] [c238] [c237] [c235] [i221] [i220] [i217] [i216] [i197] [i195] [i186] [j17] [c225] [c215] [c202] [i172] [i170] [i161] [i156] [i154] [i148] [c199] [c190] [c189] [c188] [c184] [c181] [c178] [i145] [i144] [i142] [i141] [i138] [i136] [i129] [i119] [i108] [i107] [i106] [c163] [c156] [c152] [c150] [i97] [i88] [i87] [i82] [i79]
[c222] [i182] [c199] [c190] [c189] [c188] [c184] [i145] [i144] [i142] [i138] [i136] [i109] [i108] [c172] [c171] [c170] [c167] [c159] [c156] [i99] [i95] [i90] [i79] [c144] [c141] [c139] [c138] [c137] [c134] [i66] [i64] [i59] [i58] [i57] [i56] [i51] [i50] [c130] [c125] [c123] [c118] [i42] [i41] [i40] [i37] [i25] [i24] [i16] [i15] [i9]
[c307] [c305] [c299] [c295] [i308] [i287] [i278] [i276] [j25] [c285] [c283] [c274] [c270] [c269] [c265] [c262] [i263] [i260] [i257] [i254] [i250] [i241] [i234] [j19] [c257] [c252] [c250] [c249] [c246] [c245] [c244] [c241] [c236] [i225] [i224] [i223] [i222] [i219] [i213] [i212] [i199] [i198] [i196] [i190] [i187] [c229] [c227] [c226] [c220] [c219] [c217] [c216] [c212] [c209] [c206] [c205] [c203] [i185] [i184] [i183] [i180] [i178] [i177] [i165] [i164] [i163] [i162] [i160] [i155] [i152] [i151] [c196] [c192] [c183] [c182] [c180] [c176] [i146] [i143] [i135] [i134] [i125] [i122] [i121] [i120] [i118] [i115] [c166] [c165] [c163] [c162] [c153] [c150] [c149] [c147] [c146] [i104] [i97] [i96] [i94] [i93] [i92] [i89] [i87] [i85] [i84] [i83] [i69] [c142] [c140] [c133] [i63] [i61] [i55] [i53] [i52] [c117] [i36] [i35] [i34] [i33] [c90]
[j27] [j26] [c292] [c289] [i283] [i280] [c288] [c284] [c277] [c276] [c267] [c264] [c260] [i267] [i266] [i265] [i262] [i259] [i258] [i237] [c259] [c248] [c243] [c233] [i226] [i207] [i206] [i203] [i192] [i191] [i189] [i188] [j17] [j16] [c225] [c215] [c211] [i161] [i153] [i150] [c195] [c193] [c188] [c186] [c184] [c175] [i147] [i144] [i140] [i138] [i137] [i133] [i129] [i128] [i119] [i111] [i108] [i107] [i106] [c170] [i95] [i68] [c141] [c137] [i66] [c125] [i40] [i37]
[i287] [i275] [i247] [c243] [c229] [c227] [c226] [i185] [i184] [i183] [i150] [c176] [i118] [c162] [c161] [c149] [c147] [i96] [i94] [c142] [c140] [c136] [c132] [i65] [i55] [i48] [c128] [c117] [c116] [c115] [i36] [i35] [i34] [i33] [j12] [c101] [i22] [i19] [c93] [c89] [i14] [i13] [i10] [c84] [c80] [i3]
[j29] [c306] [c303] [c302] [c301] [i299] [i298] [i297] [i296] [i294] [i293] [i281] [i280] [i274] [i273] [i271] [c280] [c279] [c278] [c266] [c261] [i269] [i268] [i264] [i261] [i251] [i248] [i247] [i245] [i240] [i239] [i235] [i233] [i232] [i231] [i230] [i229] [c256] [c254] [c253] [c247] [c238] [c237] [c235] [i221] [i220] [i217] [i216] [i186] [c222] [c214] [c213] [c202] [i182] [i179] [i172] [i170] [i169] [i167] [i156] [i154] [i148] [i127] [i110]
Scott Yih
aka: Wen-tau Yih
aka: Wen-tau Yih
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