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2020 – today
- 2024
[j13]Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan:
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. Trans. Assoc. Comput. Linguistics 12: 1311-1329 (2024)- [c215]Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong:
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. ACL (1) 2024: 680-699 - [c214]Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang:
Causal Layering via Conditional Entropy. CLeaR 2024: 1176-1191 - [c213]Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik:
Diffusion Model Alignment Using Direct Preference Optimization. CVPR 2024: 8228-8238 - [c212]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CVPR 2024: 9026-9036 - [c211]Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding. CVPR 2024: 27081-27091 - [c210]Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou:
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. EACL (Findings) 2024: 1278-1294 - [c209]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. EACL (Findings) 2024: 2299-2315 - [c208]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. ECCV (20) 2024: 169-187 - [c207]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and its Emergent Cross-Modal Reasoning. ECCV (45) 2024: 177-197 - [c206]Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. EMNLP 2024: 9885-9903 - [c205]Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou:
Unlocking Anticipatory Text Generation: A Constrained Approach for Large Language Models Decoding. EMNLP 2024: 15532-15548 - [c204]Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan:
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. EMNLP (Findings) 2024: 16553-16565 - [c203]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Wenfei Zhou, James Coady, David Peng, Yujie Qiao, Luke Benson, Lucy Sun, Alexander Wardle-Solano, Hannah Szabó, Ekaterina Zubova, Matthew Burtell, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Alexander R. Fabbri, Wojciech Kryscinski, Semih Yavuz, Ye Liu, Xi Victoria Lin, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Rex Ying, Arman Cohan, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. EMNLP 2024: 22017-22031 - [c202]Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. ICLR 2024 - [c201]Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai:
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. ICLR 2024 - [c200]Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu:
Lemur: Harmonizing Natural Language and Code for Language Agents. ICLR 2024 - [c199]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh R. N., Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. ICLR 2024 - [c198]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 - [c197]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. ICML 2024 - [c196]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Caiming Xiong, Tom Goldstein, Juan Carlos Niebles, Ran Xu:
Hierarchical Point Attention for Indoor 3D Object Detection. ICRA 2024: 4245-4251 - [c195]Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. NAACL-HLT 2024: 570-593 - [c194]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. NAACL-HLT 2024: 3404-3426 - [c193]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. NAACL-HLT 2024: 3427-3454 - [c192]Bo Pang, Caiming Xiong, Yingbo Zhou:
ARM: Alignment with Residual Energy-Based Model. NAACL-HLT 2024: 8225-8236 - [c191]Philippe Laban
, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu:
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. UIST 2024: 20:1-20:23 - [i280]David Junhao Zhang, Dongxu Li, Hung Le, Mike Zheng Shou, Caiming Xiong, Doyen Sahoo:
Moonshot: Towards Controllable Video Generation and Editing with Multimodal Conditions. CoRR abs/2401.01827 (2024) - [i279]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) - [i278]Tong Niu, Caiming Xiong, Semih Yavuz, Yingbo Zhou:
Parameter-Efficient Detoxification with Contrastive Decoding. CoRR abs/2401.06947 (2024) - [i277]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Editing Arbitrary Propositions in LLMs without Subject Labels. CoRR abs/2401.07526 (2024) - [i276]Itai Feigenbaum, Devansh Arpit, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese:
Causal Layering via Conditional Entropy. CoRR abs/2401.10495 (2024) - [i275]Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
Unified Training of Universal Time Series Forecasting Transformers. CoRR abs/2402.02592 (2024) - [i274]Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese:
Text2Data: Low-Resource Data Generation with Textual Control. CoRR abs/2402.10941 (2024) - [i273]Jianguo Zhang, Tian Lan, Rithesh Murthy, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong:
AgentOhana: Design Unified Data and Training Pipeline for Effective Agent Learning. CoRR abs/2402.15506 (2024) - [i272]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Liangwei Yang, Zuxin Liu, Juntao Tan, Prafulla Kumar Choubey, Tian Lan, Jason Wu, Huan Wang, Shelby Heinecke, Caiming Xiong, Silvio Savarese:
AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System. CoRR abs/2402.15538 (2024) - [i271]Congying Xia, Chen Xing, Jiangshu Du, Xinyi Yang, Yihao Feng, Ran Xu, Wenpeng Yin, Caiming Xiong:
FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability. CoRR abs/2402.18667 (2024) - [i270]Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR abs/2404.00699 (2024) - [i269]Anthony Meng Huat Tiong, Junqi Zhao, Boyang Li, Junnan Li, Steven C. H. Hoi, Caiming Xiong:
What Are We Measuring When We Evaluate Large Vision-Language Models? An Analysis of Latent Factors and Biases. CoRR abs/2404.02415 (2024) - [i268]Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu:
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments. CoRR abs/2404.07972 (2024) - [i267]Divyansh Agarwal, Alexander R. Fabbri, Philippe Laban, Ben Risher, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
Investigating the prompt leakage effect and black-box defenses for multi-turn LLM interactions. CoRR abs/2404.16251 (2024) - [i266]Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang:
RLHF Workflow: From Reward Modeling to Online RLHF. CoRR abs/2405.07863 (2024) - [i265]Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo:
UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting. CoRR abs/2406.04975 (2024) - [i264]Rithesh Murthy, Liangwei Yang, Juntao Tan, Tulika Manoj Awalgaonkar, Yilun Zhou, Shelby Heinecke, Sachin Desai, Jason Wu, Ran Xu, Sarah Tan, Jianguo Zhang, Zhiwei Liu, Shirley Kokane, Zuxin Liu, Ming Zhu, Huan Wang, Caiming Xiong, Silvio Savarese:
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases. CoRR abs/2406.10290 (2024) - [i263]Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Kumar Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt:
MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens. CoRR abs/2406.11271 (2024) - [i262]Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong:
APIGen: Automated Pipeline for Generating Verifiable and Diverse Function-Calling Datasets. CoRR abs/2406.18518 (2024) - [i261]Philippe Laban, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems. CoRR abs/2407.01370 (2024) - [i260]Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo:
INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness. CoRR abs/2407.02518 (2024) - [i259]Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu:
Spider2-V: How Far Are Multimodal Agents From Automating Data Science and Engineering Workflows? CoRR abs/2407.10956 (2024) - [i258]Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland:
Consent in Crisis: The Rapid Decline of the AI Data Commons. CoRR abs/2407.14933 (2024) - [i257]Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu:
Shared Imagination: LLMs Hallucinate Alike. CoRR abs/2407.16604 (2024) - [i256]Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo:
ThinK: Thinner Key Cache by Query-Driven Pruning. CoRR abs/2407.21018 (2024) - [i255]Liangwei Yang, Zhiwei Liu, Jianguo Zhang, Rithesh Murthy, Shelby Heinecke, Huan Wang, Caiming Xiong, Philip S. Yu:
Personalized Multi-task Training for Recommender System. CoRR abs/2407.21364 (2024) - [i254]Tian Lan, Huan Wang, Caiming Xiong, Silvio Savarese:
Enabling High Data Throughput Reinforcement Learning on GPUs: A Domain Agnostic Framework for Data-Driven Scientific Research. CoRR abs/2408.00930 (2024) - [i253]Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, Rithesh Murthy, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong:
Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents. CoRR abs/2408.07060 (2024) - [i252]Le Xue, Manli Shu, Anas Awadalla, Jun Wang, An Yan, Senthil Purushwalkam, Honglu Zhou, Viraj Prabhu, Yutong Dai, Michael S. Ryoo, Shrikant Kendre, Jieyu Zhang, Can Qin, Shu Zhang, Chia-Chih Chen, Ning Yu, Juntao Tan, Tulika Manoj Awalgaonkar, Shelby Heinecke, Huan Wang, Yejin Choi, Ludwig Schmidt, Zeyuan Chen, Silvio Savarese, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
xGen-MM (BLIP-3): A Family of Open Large Multimodal Models. CoRR abs/2408.08872 (2024) - [i251]Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong:
xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed Representations. CoRR abs/2408.12590 (2024) - [i250]Jianguo Zhang, Tian Lan, Ming Zhu, Zuxin Liu, Thai Hoang, Shirley Kokane, Weiran Yao, Juntao Tan, Akshara Prabhakar, Haolin Chen, Zhiwei Liu, Yihao Feng, Tulika Manoj Awalgaonkar, Rithesh Murthy, Eric Hu, Zeyuan Chen, Ran Xu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
xLAM: A Family of Large Action Models to Empower AI Agent Systems. CoRR abs/2409.03215 (2024) - [i249]Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty:
Direct Judgement Preference Optimization. CoRR abs/2409.14664 (2024) - [i248]Xiangyu Peng, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing:
ReGenesis: LLMs can Grow into Reasoning Generalists via Self-Improvement. CoRR abs/2410.02108 (2024) - [i247]Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty:
FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows". CoRR abs/2410.03727 (2024) - [i246]Lei Wang, Shan Dong, Yuhui Xu, Hanze Dong, Yalu Wang, Amrita Saha, Ee-Peng Lim, Caiming Xiong, Doyen Sahoo:
MathHay: An Automated Benchmark for Long-Context Mathematical Reasoning in LLMs. CoRR abs/2410.04698 (2024) - [i245]Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo:
Automatic Curriculum Expert Iteration for Reliable LLM Reasoning. CoRR abs/2410.07627 (2024) - [i244]Simeng Han, Aaron Yu, Rui Shen, Zhenting Qi, Martin Riddell, Wenfei Zhou, Yujie Qiao, Yilun Zhao, Semih Yavuz, Ye Liu, Shafiq Joty, Yingbo Zhou, Caiming Xiong, Dragomir Radev, Rex Ying, Arman Cohan:
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains. CoRR abs/2410.09207 (2024) - [i243]Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
GIFT-Eval: A Benchmark For General Time Series Forecasting Model Evaluation. CoRR abs/2410.10393 (2024) - [i242]Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo:
Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts. CoRR abs/2410.10469 (2024) - [i241]Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu:
Trust but Verify: Programmatic VLM Evaluation in the Wild. CoRR abs/2410.13121 (2024) - [i240]Taha Aksu, Chenghao Liu, Amrita Saha, Sarah Tan, Caiming Xiong, Doyen Sahoo:
XForecast: Evaluating Natural Language Explanations for Time Series Forecasting. CoRR abs/2410.14180 (2024) - [i239]Kaige Xie, Philippe Laban, Prafulla Kumar Choubey, Caiming Xiong, Chien-Sheng Wu:
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage. CoRR abs/2410.15531 (2024) - [i238]Michael S. Ryoo, Honglu Zhou, Shrikant Kendre, Can Qin, Le Xue, Manli Shu, Silvio Savarese, Ran Xu, Caiming Xiong, Juan Carlos Niebles:
xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs. CoRR abs/2410.16267 (2024) - [i237]Prafulla Kumar Choubey, Xin Su, Man Luo, Xiangyu Peng, Caiming Xiong, Tiep Le, Shachar Rosenman, Vasudev Lal, Phil Mui, Ricky Ho Yin Chan, Phillip Howard, Chien-Sheng Wu:
Distill-SynthKG: Distilling Knowledge Graph Synthesis Workflow for Improved Coverage and Efficiency. CoRR abs/2410.16597 (2024) - [i236]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Rithesh Murthy, Liangwei Yang, Zuxin Liu, Tian Lan, Ming Zhu, Juntao Tan, Shirley Kokane, Thai Hoang, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
PRACT: Optimizing Principled Reasoning and Acting of LLM Agent. CoRR abs/2410.18528 (2024) - [i235]Antonio A. Ginart, Naveen Kodali, Jason Lee, Caiming Xiong, Silvio Savarese, John Emmons:
Asynchronous Tool Usage for Real-Time Agents. CoRR abs/2410.21620 (2024) - [i234]Tong Niu, Shafiq Joty, Ye Liu, Caiming Xiong, Yingbo Zhou, Semih Yavuz:
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking. CoRR abs/2411.00142 (2024) - 2023
- [j12]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: End-to-End Machine Learning for Time Series. J. Mach. Learn. Res. 24: 226:1-226:6 (2023) - [j11]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. Pattern Recognit. Lett. 168: 123-130 (2023) - [j10]Xiang 'Anthony' Chen, Chien-Sheng Wu, Lidiya Murakhovs'ka, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong:
Marvista: Exploring the Design of a Human-AI Collaborative News Reading Tool. ACM Trans. Comput. Hum. Interact. 30(6): 92:1-92:27 (2023) - [c190]Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng:
Learning to Play General-Sum Games against Multiple Boundedly Rational Agents. AAAI 2023: 11781-11789 - [c189]Zahra Fatemi, Chen Xing, Wenhao Liu, Caiming Xiong:
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting. ACL (2) 2023: 1249-1262 - [c188]Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. ACL (1) 2023: 3063-3079 - [c187]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. ACL (1) 2023: 4140-4170 - [c186]Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. ACL (1) 2023: 10674-10695 - [c185]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. ACL (1) 2023: 12385-12401 - [c184]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong:
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. CHI 2023: 104:1-104:21 - [c183]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM 2023: 483-493 - [c182]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding. CVPR 2023: 1179-1189 - [c181]Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. EACL 2023: 1019-1031 - [c180]Bo Pang, Semih Yavuz, Caiming Xiong, Yingbo Zhou:
SharPT: Shared Latent Space Prompt Tuning. EACL (Findings) 2023: 1214-1220 - [c179]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. EACL (Findings) 2023: 1237-1254 - [c178]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Shafiq Joty, Yingbo Zhou:
HPE: Answering Complex Questions over Text by Hybrid Question Parsing and Execution. EMNLP (Findings) 2023: 4437-4451 - [c177]Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. EMNLP (Findings) 2023: 7269-7283 - [c176]Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu:
SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization. EMNLP 2023: 9662-9676 - [c175]Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu:
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. EMNLP (Findings) 2023: 9823-9838 - [c174]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. EMNLP 2023: 16360-16368 - [c173]Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu:
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. ICCV 2023: 23028-23039 - [c172]Le Xue, Mingfei Gao, Zeyuan Chen, Caiming Xiong, Ran Xu:
Robustness Evaluation of Transformer-Based Form Field Extractors via Form Attacks. ICDAR (2) 2023: 167-184 - [c171]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. ICLR 2023 - [c170]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. ICLR 2023 - [c169]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis. ICLR 2023 - [c168]Xiangyu Peng, Chen Xing, Prafulla Kumar Choubey, Chien-Sheng Wu, Caiming Xiong:
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning. ICLR 2023 - [c167]Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai:
Improved Online Conformal Prediction via Strongly Adaptive Online Learning. ICML 2023: 2337-2363 - [c166]Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai:
Lower Bounds for Learning in Revealing POMDPs. ICML 2023: 5104-5161 - [c165]Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei:
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. NeurIPS 2023 - [c164]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. NeurIPS 2023 - [c163]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. NeurIPS 2023 - [c162]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. SIGDIAL 2023: 509-518 - [i233]Manli Shu, Le Xue, Ning Yu, Roberto Martín-Martín, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
Model-Agnostic Hierarchical Attention for 3D Object Detection. CoRR abs/2301.02650 (2023) - [i232]Devansh Arpit, Matthew Fernandez, Chenghao Liu, Weiran Yao, Wenzhuo Yang, Paul Josel, Shelby Heinecke, Eric Hu, Huan Wang, Stephen C. H. Hoi, Caiming Xiong, Kun Zhang, Juan Carlos Niebles:
Salesforce CausalAI Library: A Fast and Scalable Framework for Causal Analysis of Time Series and Tabular Data. CoRR abs/2301.10859 (2023) - [i231]Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai:
Lower Bounds for Learning in Revealing POMDPs. CoRR abs/2302.01333 (2023) - [i230]Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai:
Improved Online Conformal Prediction via Strongly Adaptive Online Learning. CoRR abs/2302.07869 (2023) - [i229]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong:
Designing and Evaluating Interfaces that Highlight News Coverage Diversity Using Discord Questions. CoRR abs/2302.08997 (2023) - [i228]Ce Zhou, Qian Li, Chen Li, Jun Yu, Yixin Liu, Guangjing Wang, Kai Zhang, Cheng Ji, Qiben Yan, Lifang He, Hao Peng, Jianxin Li, Jia Wu, Ziwei Liu, Pengtao Xie, Caiming Xiong, Jian Pei, Philip S. Yu, Lichao Sun:
A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT. CoRR abs/2302.09419 (2023) - [i227]Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang:
Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems. CoRR abs/2302.10342 (2023) - [i226]Yixin Liu, Alexander R. Fabbri, Yilun Zhao, Pengfei Liu, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Towards Interpretable and Efficient Automatic Reference-Based Summarization Evaluation. CoRR abs/2303.03608 (2023) - [i225]Itai Feigenbaum, Huan Wang, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Devansh Arpit:
On the Unlikelihood of D-Separation. CoRR abs/2303.05628 (2023) - [i224]Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu:
HIVE: Harnessing Human Feedback for Instructional Visual Editing. CoRR abs/2303.09618 (2023) - [i223]Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu:
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. CoRR abs/2303.10056 (2023) - [i222]Lifu Tu, Jin Qu, Semih Yavuz, Shafiq Joty, Wenhao Liu, Caiming Xiong, Yingbo Zhou:
Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning. CoRR abs/2304.01295 (2023) - [i221]Erik Nijkamp, Hiroaki Hayashi, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
CodeGen2: Lessons for Training LLMs on Programming and Natural Languages. CoRR abs/2305.02309 (2023) - [i220]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR abs/2305.07633 (2023) - [i219]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Answering Complex Questions over Text by Hybrid Question Parsing and Execution. CoRR abs/2305.07789 (2023) - [i218]Le Xue, Ning Yu, Shu Zhang, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding. CoRR abs/2305.08275 (2023) - [i217]Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu:
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild. CoRR abs/2305.11147 (2023) - [i216]Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander R. Fabbri, Caiming Xiong, Shafiq Joty, Chien-Sheng Wu:
LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond. CoRR abs/2305.14540 (2023) - [i215]Philippe Laban, Jesse Vig, Wojciech Kryscinski, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
SWiPE: A Dataset for Document-Level Simplification of Wikipedia Pages. CoRR abs/2305.19204 (2023) - [i214]Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou:
Preference-grounded Token-level Guidance for Language Model Fine-tuning. CoRR abs/2306.00398 (2023) - [i213]Fan Yin, Jesse Vig, Philippe Laban, Shafiq Joty, Caiming Xiong, Chien-Sheng Jason Wu:
Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning. CoRR abs/2306.01150 (2023) - [i212]Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei:
Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection. CoRR abs/2306.04637 (2023) - [i211]Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai:
Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. CoRR abs/2307.02884 (2023) - [i210]Rithesh Murthy, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
REX: Rapid Exploration and eXploitation for AI Agents. CoRR abs/2307.08962 (2023) - [i209]Jianguo Zhang, Kun Qian, Zhiwei Liu, Shelby Heinecke, Rui Meng, Ye Liu, Zhou Yu, Huan Wang, Silvio Savarese, Caiming Xiong:
DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection for Conversational AI. CoRR abs/2307.10172 (2023) - [i208]Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, Rithesh Murthy, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization. CoRR abs/2308.02151 (2023) - [i207]Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, Rithesh Murthy, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil Mui, Huan Wang, Caiming Xiong, Silvio Savarese:
BOLAA: Benchmarking and Orchestrating LLM-augmented Autonomous Agents. CoRR abs/2308.05960 (2023) - [i206]Jianguo Zhang, Stephen Roller, Kun Qian, Zhiwei Liu, Rui Meng, Shelby Heinecke, Huan Wang, Silvio Savarese, Caiming Xiong:
Enhancing Performance on Seen and Unseen Dialogue Scenarios using Retrieval-Augmented End-to-End Task-Oriented System. CoRR abs/2308.08169 (2023) - [i205]Ye Liu, Semih Yavuz, Rui Meng, Meghana Moorthy, Shafiq Joty, Caiming Xiong, Yingbo Zhou:
Exploring the Integration Strategies of Retriever and Large Language Models. CoRR abs/2308.12574 (2023) - [i204]Erik Nijkamp, Tian Xie, Hiroaki Hayashi, Bo Pang, Congying Xia, Chen Xing, Jesse Vig, Semih Yavuz, Philippe Laban, Ben Krause, Senthil Purushwalkam, Tong Niu, Wojciech Kryscinski, Lidiya Murakhovs'ka, Prafulla Kumar Choubey, Alexander R. Fabbri, Ye Liu, Rui Meng, Lifu Tu, Meghana Bhat, Chien-Sheng Wu, Silvio Savarese, Yingbo Zhou, Shafiq Joty, Caiming Xiong:
XGen-7B Technical Report. CoRR abs/2309.03450 (2023) - [i203]Kung-Hsiang Huang, Philippe Laban, Alexander R. Fabbri, Prafulla Kumar Choubey, Shafiq Joty, Caiming Xiong, Chien-Sheng Wu:
Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles. CoRR abs/2309.09369 (2023) - [i202]Philippe Laban, Jesse Vig, Marti A. Hearst, Caiming Xiong, Chien-Sheng Wu:
Beyond the Chat: Executable and Verifiable Text-Editing with LLMs. CoRR abs/2309.15337 (2023) - [i201]Ansong Ni, Pengcheng Yin, Yilun Zhao, Martin Riddell, Troy Feng, Rui Shen, Stephen Yin, Ye Liu, Semih Yavuz, Caiming Xiong, Shafiq Joty, Yingbo Zhou, Dragomir Radev, Arman Cohan:
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. CoRR abs/2309.17446 (2023) - [i200]Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu:
Lemur: Harmonizing Natural Language and Code for Language Agents. CoRR abs/2310.06830 (2023) - [i199]Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai:
How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. CoRR abs/2310.10616 (2023) - [i198]Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu:
OpenAgents: An Open Platform for Language Agents in the Wild. CoRR abs/2310.10634 (2023) - [i197]Lidiya Murakhovs'ka, Philippe Laban, Tian Xie, Caiming Xiong, Chien-Sheng Wu:
Salespeople vs SalesBot: Exploring the Role of Educational Value in Conversational Recommender Systems. CoRR abs/2310.17749 (2023) - [i196]Yusen Zhang, Nan Zhang, Yixin Liu, Alexander R. Fabbri, Junru Liu, Ryo Kamoi, Xiaoxin Lu, Caiming Xiong, Jieyu Zhao, Dragomir Radev, Kathleen R. McKeown, Rui Zhang:
Fair Abstractive Summarization of Diverse Perspectives. CoRR abs/2311.07884 (2023) - [i195]Philippe Laban, Lidiya Murakhovs'ka, Caiming Xiong, Chien-Sheng Wu:
Are You Sure? Challenging LLMs Leads to Performance Drops in The FlipFlop Experiment. CoRR abs/2311.08596 (2023) - [i194]Prafulla Kumar Choubey, Alexander R. Fabbri, Caiming Xiong, Chien-Sheng Wu:
Lexical Repetitions Lead to Rote Learning: Unveiling the Impact of Lexical Overlap in Train and Test Reference Summaries. CoRR abs/2311.09458 (2023) - [i193]Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik:
Diffusion Model Alignment Using Direct Preference Optimization. CoRR abs/2311.12908 (2023) - [i192]Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty:
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? CoRR abs/2311.16989 (2023) - [i191]Artemis Panagopoulou, Le Xue, Ning Yu, Junnan Li, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles:
X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning. CoRR abs/2311.18799 (2023) - [i190]Lifu Tu, Semih Yavuz, Jin Qu, Jiacheng Xu, Rui Meng, Caiming Xiong, Yingbo Zhou:
Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models. CoRR abs/2312.06149 (2023) - 2022
- [j9]Zuxuan Wu, Hengduo Li, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Dynamic Frame Selection Framework for Fast Video Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1699-1711 (2022) - [j8]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Hailey Schoelkopf, Riley Kong, Xiangru Tang, Mutethia Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. Trans. Assoc. Comput. Linguistics 10: 35-49 (2022) - [c161]Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong:
[CASPI] Causal-aware Safe Policy Improvement for Task-oriented Dialogue. ACL (1) 2022: 92-102 - [c160]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. ACL (1) 2022: 974-990 - [c159]Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. ACL (Findings) 2022: 2869-2882 - [c158]Wenpeng Yin, Jia Li, Caiming Xiong:
ConTinTin: Continual Learning from Task Instructions. ACL (1) 2022: 3062-3072 - [c157]Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
DialFact: A Benchmark for Fact-Checking in Dialogue. ACL (1) 2022: 3785-3801 - [c156]Chien-Sheng Wu, Andrea Madotto, Wenhao Liu, Pascale Fung, Caiming Xiong:
QAConv: Question Answering on Informative Conversations. ACL (1) 2022: 5389-5411 - [c155]Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RNG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. ACL (1) 2022: 6032-6043 - [c154]Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu:
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL 2022: 12-20 - [c153]Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong:
DocQueryNet: Value Retrieval with Arbitrary Queries for Form-like Documents. COLING 2022: 2141-2146 - [c152]Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah:
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. CVPR 2022: 16639-16648 - [c151]Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong:
Open Vocabulary Object Detection with Pseudo Bounding-Box Labels. ECCV (10) 2022: 266-282 - [c150]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. EMNLP 2022: 602-631 - [c149]Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. EMNLP 2022: 2094-2108 - [c148]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong:
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. EMNLP (Findings) 2022: 5180-5194 - [c147]Lifu Tu, Caiming Xiong, Yingbo Zhou:
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. EMNLP (Findings) 2022: 5478-5485 - [c146]Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. EMNLP 2022: 5879-5915 - [c145]Wojciech Kryscinski, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev:
BOOKSUM: A Collection of Datasets for Long-form Narrative Summarization. EMNLP (Findings) 2022: 6536-6558 - [c144]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. EMNLP 2022: 8858-8869 - [c143]Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong:
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. EMNLP 2022: 9149-9156 - [c142]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. EMNLP 2022: 11689-11698 - [c141]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. ICLR 2022 - [c140]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. ICML 2022: 12888-12900 - [c139]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion 2022: 149-153 - [c138]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong:
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. NAACL-HLT (Findings) 2022: 102-111 - [c137]Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong:
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. NAACL-HLT (Findings) 2022: 770-787 - [c136]Lidiya Murakhovs'ka, Chien-Sheng Wu, Philippe Laban, Tong Niu, Wenhao Liu, Caiming Xiong:
MixQG: Neural Question Generation with Mixed Answer Types. NAACL-HLT (Findings) 2022: 1486-1497 - [c135]Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. NAACL-HLT 2022: 2587-2601 - [c134]Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong:
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. NeurIPS 2022 - [c133]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. NeurIPS 2022 - [c132]Yongjun Chen, Jia Li, Caiming Xiong:
ELECRec: Training Sequential Recommenders as Discriminators. SIGIR 2022: 2550-2554 - [c131]Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone:
Local calibration: metrics and recalibration. UAI 2022: 1286-1295 - [c130]Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. WSDM 2022: 1597-1600 - [c129]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. WWW 2022: 2172-2182 - [i189]Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong:
RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. CoRR abs/2201.04399 (2022) - [i188]Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I. Wang, Victor Zhong, Bailin Wang, Chengzu Li, Connor Boyle, Ansong Ni, Ziyu Yao, Dragomir R. Radev, Caiming Xiong, Lingpeng Kong, Rui Zhang, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
UnifiedSKG: Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models. CoRR abs/2201.05966 (2022) - [i187]Junnan Li, Dongxu Li, Caiming Xiong, Steven C. H. Hoi:
BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation. CoRR abs/2201.12086 (2022) - [i186]Yongjun Chen, Zhiwei Liu, Jia Li, Julian J. McAuley, Caiming Xiong:
Intent Contrastive Learning for Sequential Recommendation. CoRR abs/2202.02519 (2022) - [i185]Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong:
Efficient and Differentiable Conformal Prediction with General Function Classes. CoRR abs/2202.11091 (2022) - [i184]Liang Qiu, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Structure Extraction in Task-Oriented Dialogues with Slot Clustering. CoRR abs/2203.00073 (2022) - [i183]Bo Pang, Erik Nijkamp, Wojciech Kryscinski, Silvio Savarese, Yingbo Zhou, Caiming Xiong:
Long Document Summarization with Top-down and Bottom-up Inference. CoRR abs/2203.07586 (2022) - [i182]Wenpeng Yin, Jia Li, Caiming Xiong:
ConTinTin: Continual Learning from Task Instructions. CoRR abs/2203.08512 (2022) - [i181]Tian Xie, Xinyi Yang, Angela S. Lin, Feihong Wu, Kazuma Hashimoto, Jin Qu, Young Mo Kang, Wenpeng Yin, Huan Wang, Semih Yavuz, Gang Wu, Michael Jones, Richard Socher, Yingbo Zhou, Wenhao Liu, Caiming Xiong:
Converse: A Tree-Based Modular Task-Oriented Dialogue System. CoRR abs/2203.12187 (2022) - [i180]Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong:
A Conversational Paradigm for Program Synthesis. CoRR abs/2203.13474 (2022) - [i179]Zhiwei Liu, Yongjun Chen, Jia Li, Man Luo, Philip S. Yu, Caiming Xiong:
Improving Contrastive Learning with Model Augmentation. CoRR abs/2203.15508 (2022) - [i178]Yongjun Chen, Jia Li, Caiming Xiong:
ELECRec: Training Sequential Recommenders as Discriminators. CoRR abs/2204.02011 (2022) - [i177]Ehsan Hosseini-Asl, Wenhao Liu, Caiming Xiong:
A Generative Language Model for Few-shot Aspect-Based Sentiment Analysis. CoRR abs/2204.05356 (2022) - [i176]Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah:
Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. CoRR abs/2204.13207 (2022) - [i175]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Wenhao Liu, Caiming Xiong:
Quiz Design Task: Helping Teachers Create Quizzes with Automated Question Generation. CoRR abs/2205.01730 (2022) - [i174]Philippe Laban, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
Near-Negative Distinction: Giving a Second Life to Human Evaluation Datasets. CoRR abs/2205.06871 (2022) - [i173]Tong Niu, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
OneAligner: Zero-shot Cross-lingual Transfer with One Rich-Resource Language Pair for Low-Resource Sentence Retrieval. CoRR abs/2205.08605 (2022) - [i172]Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Nitish Shirish Keskar, Caiming Xiong:
Modeling Multi-hop Question Answering as Single Sequence Prediction. CoRR abs/2205.09226 (2022) - [i171]Wenzhuo Yang, Jia Li, Caiming Xiong, Steven C. H. Hoi:
MACE: An Efficient Model-Agnostic Framework for Counterfactual Explanation. CoRR abs/2205.15540 (2022) - [i170]Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai:
Policy Optimization for Markov Games: Unified Framework and Faster Convergence. CoRR abs/2206.02640 (2022) - [i169]Xiang 'Anthony' Chen, Chien-Sheng Wu, Tong Niu, Wenhao Liu, Caiming Xiong:
Marvista: A Human-AI Collaborative Reading Tool. CoRR abs/2207.08401 (2022) - [i168]Paul Kassianik, Erik Nijkamp, Bo Pang, Yingbo Zhou, Caiming Xiong:
BigIssue: A Realistic Bug Localization Benchmark. CoRR abs/2207.10739 (2022) - [i167]Yongjun Chen, Jia Li, Zhiwei Liu, Nitish Shirish Keskar, Huan Wang, Julian J. McAuley, Caiming Xiong:
Generating Negative Samples for Sequential Recommendation. CoRR abs/2208.03645 (2022) - [i166]Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq R. Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, Dragomir Radev:
FOLIO: Natural Language Reasoning with First-Order Logic. CoRR abs/2209.00840 (2022) - [i165]Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
Binding Language Models in Symbolic Languages. CoRR abs/2210.02875 (2022) - [i164]Lifu Tu, Caiming Xiong, Yingbo Zhou:
Prompt-Tuning Can Be Much Better Than Fine-Tuning on Cross-lingual Understanding With Multilingual Language Models. CoRR abs/2210.12360 (2022) - [i163]Xiangyu Peng, Chen Xing, Prafulla Kumar Choubey, Chien-Sheng Wu, Caiming Xiong:
Model ensemble instead of prompt fusion: a sample-specific knowledge transfer method for few-shot prompt tuning. CoRR abs/2210.12587 (2022) - [i162]Philippe Laban, Chien-Sheng Wu, Lidiya Murakhovs'ka, Xiang 'Anthony' Chen, Caiming Xiong:
Discord Questions: A Computational Approach To Diversity Analysis in News Coverage. CoRR abs/2211.05007 (2022) - [i161]Ye Liu, Semih Yavuz, Rui Meng, Dragomir Radev, Caiming Xiong, Yingbo Zhou:
Uni-Parser: Unified Semantic Parser for Question Answering on Knowledge Base and Database. CoRR abs/2211.05165 (2022) - [i160]Alexander R. Fabbri, Prafulla Kumar Choubey, Jesse Vig, Chien-Sheng Wu, Caiming Xiong:
Improving Factual Consistency in Summarization with Compression-Based Post-Editing. CoRR abs/2211.06196 (2022) - [i159]Yiyuan Li, Tong Che, Yezhen Wang, Zhengbao Jiang, Caiming Xiong, Snigdha Chaturvedi:
SPE: Symmetrical Prompt Enhancement for Fact Probing. CoRR abs/2211.07078 (2022) - [i158]Jiacheng Xu, Caiming Xiong, Silvio Savarese, Yingbo Zhou:
Best-k Search Algorithm for Neural Text Generation. CoRR abs/2211.11924 (2022) - [i157]Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese:
ULIP: Learning Unified Representation of Language, Image and Point Cloud for 3D Understanding. CoRR abs/2212.05171 (2022) - [i156]Yixin Liu, Alexander R. Fabbri, Pengfei Liu, Yilun Zhao, Linyong Nan, Ruilin Han, Simeng Han, Shafiq R. Joty, Chien-Sheng Wu, Caiming Xiong, Dragomir Radev:
Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation. CoRR abs/2212.07981 (2022) - [i155]Ning Yu, Chia-Chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu:
LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer. CoRR abs/2212.09877 (2022) - 2021
- [j7]Zuxuan Wu, Hengduo Li, Yingbin Zheng, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
A Coarse-to-Fine Framework for Resource Efficient Video Recognition. Int. J. Comput. Vis. 129(11): 2965-2977 (2021) - [j6]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. Trans. Assoc. Comput. Linguistics 9: 391-409 (2021) - [c128]Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. AAAI 2021: 7002-7010 - [c127]Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong:
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. ACL/IJCNLP (1) 2021: 1052-1061 - [c126]Wenpeng Yin, Huan Wang, Jin Qu, Caiming Xiong:
BatchMixup: Improving Training by Interpolating Hidden States of the Entire Mini-batch. ACL/IJCNLP (Findings) 2021: 4908-4912 - [c125]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. ACL/IJCNLP (Findings) 2021: 4913-4922 - [c124]Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong:
Controllable Abstractive Dialogue Summarization with Sketch Supervision. ACL/IJCNLP (Findings) 2021: 5108-5122 - [c123]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. AIES 2021: 884-894 - [c122]Wenzhuo Yang, Jia Li, Chenxi Li, Latrice Barnett, Markus Anderle, Simo Arajärvi, Harshavardhan Utharavalli, Caiming Xiong, Steven C. H. Hoi:
On the Diversity and Explainability of Recommender Systems: A Practical Framework for Enterprise App Recommendation. CIKM 2021: 4302-4311 - [c121]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CVPR 2021: 1915-1923 - [c120]Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen:
Structured Scene Memory for Vision-Language Navigation. CVPR 2021: 8455-8464 - [c119]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. EACL 2021: 1754-1761 - [c118]Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu:
Dense Hierarchical Retrieval for Open-domain Question Answering. EMNLP (Findings) 2021: 188-200 - [c117]Tong Niu, Semih Yavuz, Yingbo Zhou, Nitish Shirish Keskar, Huan Wang, Caiming Xiong:
Unsupervised Paraphrasing with Pretrained Language Models. EMNLP (1) 2021: 5136-5150 - [c116]Han Guo, Nazneen Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. EMNLP (1) 2021: 10333-10350 - [c115]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. ICCV 2021: 9455-9464 - [c114]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
Learning from Noisy Data with Robust Representation Learning. ICCV 2021: 9465-9474 - [c113]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. ICLR 2021 - [c112]Junnan Li, Pan Zhou, Caiming Xiong, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. ICLR 2021 - [c111]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. ICLR 2021 - [c110]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. ICLR 2021 - [c109]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. ICLR 2021 - [c108]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. ICLR 2021 - [c107]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? ICML 2021: 543-553 - [c106]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. ICML 2021: 566-576 - [c105]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. ICML 2021: 4772-4784 - [c104]Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. Interspeech 2021: 2451-2455 - [c103]Linyong Nan, Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Mutethia Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
DART: Open-Domain Structured Data Record to Text Generation. NAACL-HLT 2021: 432-447 - [c102]Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong:
Learning to Synthesize Data for Semantic Parsing. NAACL-HLT 2021: 2760-2766 - [c101]Erik Nijkamp, Bo Pang, Ying Nian Wu, Caiming Xiong:
SCRIPT: Self-Critic PreTraining of Transformers. NAACL-HLT 2021: 5196-5202 - [c100]Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu-Hong Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. NeurIPS 2021: 6183-6197 - [c99]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. NeurIPS 2021: 9367-9377 - [c98]Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Gotmare, Shafiq R. Joty, Caiming Xiong, Steven Chu-Hong Hoi:
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. NeurIPS 2021: 9694-9705 - [c97]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Understanding the Under-Coverage Bias in Uncertainty Estimation. NeurIPS 2021: 18307-18319 - [c96]Yu Bai, Chi Jin, Huan Wang, Caiming Xiong:
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. NeurIPS 2021: 25799-25811 - [c95]Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai:
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning. NeurIPS 2021: 27395-27407 - [c94]Congying Xia, Caiming Xiong, Philip S. Yu:
Pseudo Siamese Network for Few-shot Intent Generation. SIGIR 2021: 2005-2009 - [c93]Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven C. H. Hoi:
Task similarity aware meta learning: theory-inspired improvement on MAML. UAI 2021: 23-33 - [c92]Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. WACV 2021: 2290-2300 - [i154]Karan Goel, Nazneen Fatema Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré:
Robustness Gym: Unifying the NLP Evaluation Landscape. CoRR abs/2101.04840 (2021) - [i153]Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl:
Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models. CoRR abs/2101.06829 (2021) - [i152]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. CoRR abs/2102.07856 (2021) - [i151]Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon:
Localized Calibration: Metrics and Recalibration. CoRR abs/2102.10809 (2021) - [i150]Yu Bai, Chi Jin, Huan Wang, Caiming Xiong:
Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games. CoRR abs/2102.11494 (2021) - [i149]Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen:
Structured Scene Memory for Vision-Language Navigation. CoRR abs/2103.03454 (2021) - [i148]Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong:
Causal-aware Safe Policy Improvement for Task-oriented dialogue. CoRR abs/2103.06370 (2021) - [i147]Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir R. Radev:
FeTaQA: Free-form Table Question Answering. CoRR abs/2104.00369 (2021) - [i146]Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong:
Learning to Synthesize Data for Semantic Parsing. CoRR abs/2104.05827 (2021) - [i145]Congying Xia, Caiming Xiong, Philip S. Yu:
Pseudo Siamese Network for Few-shot Intent Generation. CoRR abs/2105.00896 (2021) - [i144]Chien-Sheng Wu, Andrea Madotto, Wenhao Liu, Pascale Fung, Caiming Xiong:
QAConv: Question Answering on Informative Conversations. CoRR abs/2105.06912 (2021) - [i143]Wojciech Kryscinski, Nazneen Fatema Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir R. Radev:
BookSum: A Collection of Datasets for Long-form Narrative Summarization. CoRR abs/2105.08209 (2021) - [i142]Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong:
Controllable Abstractive Dialogue Summarization with Sketch Supervision. CoRR abs/2105.14064 (2021) - [i141]Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong:
Unsupervised Out-of-Domain Detection via Pre-trained Transformers. CoRR abs/2106.00948 (2021) - [i140]Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher:
Evaluating State-of-the-Art Classification Models Against Bayes Optimality. CoRR abs/2106.03357 (2021) - [i139]Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu:
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. CoRR abs/2106.04564 (2021) - [i138]Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai:
Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning. CoRR abs/2106.04895 (2021) - [i137]Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng:
ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations. CoRR abs/2106.05492 (2021) - [i136]Yu Bai, Song Mei, Huan Wang, Caiming Xiong:
Understanding the Under-Coverage Bias in Uncertainty Estimation. CoRR abs/2106.05515 (2021) - [i135]Wenpeng Yin, Dragomir R. Radev, Caiming Xiong:
DocNLI: A Large-scale Dataset for Document-level Natural Language Inference. CoRR abs/2106.09449 (2021) - [i134]Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven C. H. Hoi:
A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning. CoRR abs/2106.14749 (2021) - [i133]Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq R. Joty, Caiming Xiong, Steven C. H. Hoi:
Align before Fuse: Vision and Language Representation Learning with Momentum Distillation. CoRR abs/2107.07651 (2021) - [i132]Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian J. McAuley, Caiming Xiong:
Contrastive Self-supervised Sequential Recommendation with Robust Augmentation. CoRR abs/2108.06479 (2021) - [i131]Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong:
RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering. CoRR abs/2109.08678 (2021) - [i130]Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K. C. Krithika, Sukumar Maddineni, Dae-ki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven C. H. Hoi, Huan Wang:
Merlion: A Machine Learning Library for Time Series. CoRR abs/2109.09265 (2021) - [i129]Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian J. McAuley, Caiming Xiong:
Modeling Dynamic Attributes for Next Basket Recommendation. CoRR abs/2109.11654 (2021) - [i128]Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu:
Field Extraction from Forms with Unlabeled Data. CoRR abs/2110.04282 (2021) - [i127]Le Xue, Mingfei Gao, Zeyuan Chen, Caiming Xiong, Ran Xu:
Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks. CoRR abs/2110.04413 (2021) - [i126]Zahra Fatemi, Chen Xing, Wenhao Liu, Caiming Xiong:
Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting. CoRR abs/2110.05367 (2021) - [i125]Lidiya Murakhovs'ka, Chien-Sheng Wu, Tong Niu, Wenhao Liu, Caiming Xiong:
MixQG: Neural Question Generation with Mixed Answer Types. CoRR abs/2110.08175 (2021) - [i124]Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
DialFact: A Benchmark for Fact-Checking in Dialogue. CoRR abs/2110.08222 (2021) - [i123]Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi:
Improving Tail-Class Representation with Centroid Contrastive Learning. CoRR abs/2110.10048 (2021) - [i122]Bram Wallace, Devansh Arpit, Huan Wang, Caiming Xiong:
Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles. CoRR abs/2110.10293 (2021) - [i121]Devansh Arpit, Aadyot Bhatnagar, Huan Wang, Caiming Xiong:
Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE. CoRR abs/2110.10303 (2021) - [i120]Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong:
Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization. CoRR abs/2110.10832 (2021) - [i119]Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu:
Dense Hierarchical Retrieval for Open-Domain Question Answering. CoRR abs/2110.15439 (2021) - [i118]Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong:
Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes. CoRR abs/2111.09452 (2021) - [i117]Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong:
Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution. CoRR abs/2111.10497 (2021) - [i116]Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong:
Value Retrieval with Arbitrary Queries for Form-like Documents. CoRR abs/2112.07820 (2021) - [i115]Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong:
QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization. CoRR abs/2112.08542 (2021) - 2020
- [c91]Jichuan Zeng, Xi Victoria Lin, Steven C. H. Hoi, Richard Socher, Caiming Xiong, Michael R. Lyu, Irwin King:
Photon: A Robust Cross-Domain Text-to-SQL System. ACL (demo) 2020: 204-214 - [c90]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. ACL 2020: 935-945 - [c89]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. ACL 2020: 4443-4458 - [c88]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. ACL 2020: 5443-5453 - [c87]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. ACL 2020: 7906-7917 - [c86]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Assessing Local Generalization Capability in Deep Models. AISTATS 2020: 2077-2087 - [c85]Kazuma Hashimoto, Raffaella Buschiazzo, Caiming Xiong, Teresa Marxhall:
Building Salesforce Neural Machine Translation System. AMTA (2) 2020: 436-451 - [c84]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning From Noisy Anchors for One-Stage Object Detection. CVPR 2020: 10585-10594 - [c83]Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue. EMNLP (1) 2020: 917-929 - [c82]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. EMNLP (1) 2020: 2439-2449 - [c81]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. EMNLP (1) 2020: 3325-3338 - [c80]Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher:
Composed Variational Natural Language Generation for Few-shot Intents. EMNLP (Findings) 2020: 3379-3388 - [c79]Chien-Sheng Wu, Steven C. H. Hoi, Caiming Xiong:
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. EMNLP (Findings) 2020: 4462-4472 - [c78]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. EMNLP (Findings) 2020: 4870-4888 - [c77]Chien-Sheng Wu, Caiming Xiong:
Probing Task-Oriented Dialogue Representation from Language Models. EMNLP (1) 2020: 5036-5051 - [c76]Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. EMNLP (1) 2020: 5064-5082 - [c75]Semih Yavuz, Kazuma Hashimoto, Wenhao Liu, Nitish Shirish Keskar, Richard Socher, Caiming Xiong:
Simple Data Augmentation with the Mask Token Improves Domain Adaptation for Dialog Act Tagging. EMNLP (1) 2020: 5083-5089 - [c74]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
The Thieves on Sesame Street are Polyglots - Extracting Multilingual Models from Monolingual APIs. EMNLP (1) 2020: 6203-6207 - [c73]Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong:
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. EMNLP (1) 2020: 8229-8239 - [c72]Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. EMNLP (1) 2020: 9332-9346 - [c71]Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong:
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. ICLR 2020 - [c70]Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres:
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. ICML 2020: 1317-1327 - [c69]Weiran Wang, Guangsen Wang, Aadyot Bhatnagar, Yingbo Zhou, Caiming Xiong, Richard Socher:
An Investigation of Phone-Based Subword Units for End-to-End Speech Recognition. INTERSPEECH 2020: 1778-1782 - [c68]Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher:
Towards Understanding Hierarchical Learning: Benefits of Neural Representations. NeurIPS 2020 - [c67]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. NeurIPS 2020 - [c66]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu-Hong Hoi, Weinan E:
Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning. NeurIPS 2020 - [c65]Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu-Hong Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. NeurIPS 2020 - [c64]Jian-Guo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. *SEM@COLING 2020: 154-167 - [i114]Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. CoRR abs/2001.05086 (2020) - [i113]Víctor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giró-i-Nieto, Jordi Torres:
Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills. CoRR abs/2002.03647 (2020) - [i112]Yu Bai, Ben Krause, Huan Wang, Caiming Xiong, Richard Socher:
Taylorized Training: Towards Better Approximation of Neural Network Training at Finite Width. CoRR abs/2002.04010 (2020) - [i111]Devansh Arpit, Huan Wang, Caiming Xiong, Richard Socher, Yoshua Bengio:
Neural Bayes: A Generic Parameterization Method for Unsupervised Representation Learning. CoRR abs/2002.09046 (2020) - [i110]Lichao Sun, Yingbo Zhou, Philip S. Yu, Caiming Xiong:
Differentially Private Deep Learning with Smooth Sensitivity. CoRR abs/2003.00505 (2020) - [i109]Junnan Li, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Towards Noise-resistant Object Detection with Noisy Annotations. CoRR abs/2003.01285 (2020) - [i108]Lichao Sun, Kazuma Hashimoto, Wenpeng Yin, Akari Asai, Jia Li, Philip S. Yu, Caiming Xiong:
Adv-BERT: BERT is not robust on misspellings! Generating nature adversarial samples on BERT. CoRR abs/2003.04985 (2020) - [i107]Chien-Sheng Wu, Steven C. H. Hoi, Richard Socher, Caiming Xiong:
ToD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogues. CoRR abs/2004.06871 (2020) - [i106]Yue Wang, Shafiq R. Joty, Michael R. Lyu, Irwin King, Caiming Xiong, Steven C. H. Hoi:
VD-BERT: A Unified Vision and Dialog Transformer with BERT. CoRR abs/2004.13278 (2020) - [i105]Nazneen Fatema Rajani, Rui Zhang, Yi Chern Tan, Stephan Zheng, Jeremy Weiss, Aadit Vyas, Abhijit Gupta, Caiming Xiong, Richard Socher, Dragomir R. Radev:
ESPRIT: Explaining Solutions to Physical Reasoning Tasks. CoRR abs/2005.00730 (2020) - [i104]Tianlu Wang, Xi Victoria Lin, Nazneen Fatema Rajani, Bryan McCann, Vicente Ordonez, Caiming Xiong:
Double-Hard Debias: Tailoring Word Embeddings for Gender Bias Mitigation. CoRR abs/2005.00965 (2020) - [i103]Junnan Li, Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Prototypical Contrastive Learning of Unsupervised Representations. CoRR abs/2005.04966 (2020) - [i102]Yifan Gao, Chien-Sheng Wu, Shafiq R. Joty, Caiming Xiong, Richard Socher, Irwin King, Michael R. Lyu, Steven C. H. Hoi:
EMT: Explicit Memory Tracker with Coarse-to-Fine Reasoning for Conversational Machine Reading. CoRR abs/2005.12484 (2020) - [i101]Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong:
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. CoRR abs/2006.03732 (2020) - [i100]Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong:
A High-Quality Multilingual Dataset for Structured Documentation Translation. CoRR abs/2006.13425 (2020) - [i99]Minshuo Chen, Yu Bai, Jason D. Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher:
Towards Understanding Hierarchical Learning: Benefits of Neural Representations. CoRR abs/2006.13436 (2020) - [i98]Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Fatema Rajani:
BERTology Meets Biology: Interpreting Attention in Protein Language Models. CoRR abs/2006.15222 (2020) - [i97]Pan Zhou, Caiming Xiong, Richard Socher, Steven C. H. Hoi:
Theory-Inspired Path-Regularized Differential Network Architecture Search. CoRR abs/2006.16537 (2020) - [i96]Dragomir R. Radev, Rui Zhang, Amrit Rau, Abhinand Sivaprasad, Chiachun Hsieh, Nazneen Fatema Rajani, Xiangru Tang, Aadit Vyas, Neha Verma, Pranav Krishna, Yangxiaokang Liu, Nadia Irwanto, Jessica Pan, Faiaz Rahman, Ahmad Zaidi, Murori Mutuma, Yasin Tarabar, Ankit Gupta, Tao Yu, Yi Chern Tan, Xi Victoria Lin, Caiming Xiong, Richard Socher:
DART: Open-Domain Structured Data Record to Text Generation. CoRR abs/2007.02871 (2020) - [i95]Alexander R. Fabbri, Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SummEval: Re-evaluating Summarization Evaluation. CoRR abs/2007.12626 (2020) - [i94]Jichuan Zeng, Xi Victoria Lin, Caiming Xiong, Richard Socher, Michael R. Lyu, Irwin King, Steven C. H. Hoi:
Photon: A Robust Cross-Domain Text-to-SQL System. CoRR abs/2007.15280 (2020) - [i93]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
MoPro: Webly Supervised Learning with Momentum Prototypes. CoRR abs/2009.07995 (2020) - [i92]Congying Xia, Caiming Xiong, Philip S. Yu, Richard Socher:
Composed Variational Natural Language Generation for Few-shot Intents. CoRR abs/2009.10056 (2020) - [i91]Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir R. Radev, Richard Socher, Caiming Xiong:
GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing. CoRR abs/2009.13845 (2020) - [i90]Yifan Gao, Chien-Sheng Wu, Jingjing Li, Shafiq R. Joty, Steven C. H. Hoi, Caiming Xiong, Irwin King, Michael R. Lyu:
Discern: Discourse-Aware Entailment Reasoning Network for Conversational Machine Reading. CoRR abs/2010.01838 (2020) - [i89]Wenpeng Yin, Nazneen Fatema Rajani, Dragomir R. Radev, Richard Socher, Caiming Xiong:
Universal Natural Language Processing with Limited Annotations: Try Few-shot Textual Entailment as a Start. CoRR abs/2010.02584 (2020) - [i88]Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong:
Representation Learning for Sequence Data with Deep Autoencoding Predictive Components. CoRR abs/2010.03135 (2020) - [i87]Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven C. H. Hoi, Weinan E:
Towards Theoretically Understanding Why SGD Generalizes Better Than ADAM in Deep Learning. CoRR abs/2010.05627 (2020) - [i86]Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong:
How Important is the Train-Validation Split in Meta-Learning? CoRR abs/2010.05843 (2020) - [i85]Nazneen Fatema Rajani, Ben Krause, Wenpeng Yin, Tong Niu, Richard Socher, Caiming Xiong:
Explaining and Improving Model Behavior with k Nearest Neighbor Representations. CoRR abs/2010.09030 (2020) - [i84]Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong:
Online Structured Meta-learning. CoRR abs/2010.11545 (2020) - [i83]Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Fatema Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong:
CoCo: Controllable Counterfactuals for Evaluating Dialogue State Trackers. CoRR abs/2010.12850 (2020) - [i82]Tong Niu, Semih Yavuz, Yingbo Zhou, Huan Wang, Nitish Shirish Keskar, Caiming Xiong:
Unsupervised Paraphrase Generation via Dynamic Blocking. CoRR abs/2010.12885 (2020) - [i81]Jian-Guo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. CoRR abs/2010.13009 (2020) - [i80]Chien-Sheng Wu, Caiming Xiong:
Probing Task-Oriented Dialogue Representation from Language Models. CoRR abs/2010.13912 (2020) - [i79]Chien-Sheng Wu, Steven Chu-Hong Hoi, Caiming Xiong:
Improving Limited Labeled Dialogue State Tracking with Self-Supervision. CoRR abs/2010.13920 (2020) - [i78]Hiroaki Hayashi, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
What's New? Summarizing Contributions in Scientific Literature. CoRR abs/2011.03161 (2020) - [i77]Junnan Li, Caiming Xiong, Steven C. H. Hoi:
CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. CoRR abs/2011.11183 (2020) - [i76]Genta Indra Winata, Guangsen Wang, Caiming Xiong, Steven C. H. Hoi:
Adapt-and-Adjust: Overcoming the Long-Tail Problem of Multilingual Speech Recognition. CoRR abs/2012.01687 (2020) - [i75]Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu:
NaturalCC: A Toolkit to Naturalize the Source Code Corpus. CoRR abs/2012.03225 (2020) - [i74]Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong:
GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning. CoRR abs/2012.03900 (2020) - [i73]Junxian He, Wojciech Kryscinski, Bryan McCann, Nazneen Fatema Rajani, Caiming Xiong:
CTRLsum: Towards Generic Controllable Text Summarization. CoRR abs/2012.04281 (2020) - [i72]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing. CoRR abs/2012.12627 (2020) - [i71]Stanislaw Jastrzebski, Devansh Arpit, Oliver Åstrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J. Geras:
Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization. CoRR abs/2012.14193 (2020) - [i70]Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong:
FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging. CoRR abs/2012.15781 (2020)
2010 – 2019
- 2019
- [c63]Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. ACL (1) 2019: 808-819 - [c62]Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. ACL (1) 2019: 4511-4523 - [c61]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. ACL (1) 2019: 4932-4942 - [c60]Jasdeep Singh, Bryan McCann, Richard Socher, Caiming Xiong:
BERT is Not an Interlingua and the Bias of Tokenization. DeepLo@EMNLP-IJCNLP 2019: 47-55 - [c59]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CVPR 2019: 1278-1287 - [c58]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation Through Progress Estimation. CVPR 2019: 6732-6740 - [c57]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. EMNLP/IJCNLP (1) 2019: 540-551 - [c56]Mingfei Gao, Larry Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. EMNLP/IJCNLP (1) 2019: 1481-1487 - [c55]Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. EMNLP/IJCNLP (1) 2019: 1962-1979 - [c54]Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev:
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. EMNLP/IJCNLP (1) 2019: 5337-5348 - [c53]Mingfei Gao, Mingze Xu, Larry Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. ICCV 2019: 5541-5550 - [c52]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. ICLR (Poster) 2019 - [c51]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation. ICLR (Poster) 2019 - [c50]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive experience replay. ICLR (Poster) 2019 - [c49]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. ICLR (Poster) 2019 - [c48]Chien-Sheng Wu, Richard Socher, Caiming Xiong:
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. ICLR (Poster) 2019 - [c47]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. ICLR (Poster) 2019 - [c46]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. ICML 2019: 3925-3934 - [c45]Hao Liu, Richard Socher, Caiming Xiong:
Taming MAML: Efficient unbiased meta-reinforcement learning. ICML 2019: 4061-4071 - [c44]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. ICML 2019: 6648-6658 - [c43]Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. NeurIPS 2019: 7778-7787 - [c42]Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. NeurIPS 2019: 10376-10386 - [c41]Kazuma Hashimoto, Raffaella Buschiazzo, James Bradbury, Teresa Marshall, Richard Socher, Caiming Xiong:
A High-Quality Multilingual Dataset for Structured Documentation Translation. WMT (1) 2019: 116-127 - [i69]Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher:
Coarse-grain Fine-grain Coattention Network for Multi-evidence Question Answering. CoRR abs/1901.00603 (2019) - [i68]Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong:
Self-Monitoring Navigation Agent via Auxiliary Progress Estimation. CoRR abs/1901.03035 (2019) - [i67]Chien-Sheng Wu, Richard Socher, Caiming Xiong:
Global-to-local Memory Pointer Networks for Task-Oriented Dialogue. CoRR abs/1901.04713 (2019) - [i66]Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong:
Competitive Experience Replay. CoRR abs/1902.00528 (2019) - [i65]Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira:
The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation. CoRR abs/1903.01602 (2019) - [i64]Mingfei Gao, Mingze Xu, Larry S. Davis, Richard Socher, Caiming Xiong:
StartNet: Online Detection of Action Start in Untrimmed Videos. CoRR abs/1903.09868 (2019) - [i63]Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong:
Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting. CoRR abs/1904.00310 (2019) - [i62]Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Unifying Question Answering and Text Classification via Span Extraction. CoRR abs/1904.09286 (2019) - [i61]Chien-Sheng Wu, Andrea Madotto, Ehsan Hosseini-Asl, Caiming Xiong, Richard Socher, Pascale Fung:
Transferable Multi-Domain State Generator for Task-Oriented Dialogue Systems. CoRR abs/1905.08743 (2019) - [i60]Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering. CoRR abs/1905.11471 (2019) - [i59]Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher:
On the Generalization Gap in Reparameterizable Reinforcement Learning. CoRR abs/1905.12654 (2019) - [i58]Tao Yu, Rui Zhang, Michihiro Yasunaga, Yi Chern Tan, Xi Victoria Lin, Suyi Li, Heyang Er, Irene Li, Bo Pang, Tao Chen, Emily Ji, Shreya Dixit, David Proctor, Sungrok Shim, Jonathan Kraft, Vincent Zhang, Caiming Xiong, Richard Socher, Dragomir R. Radev:
SParC: Cross-Domain Semantic Parsing in Context. CoRR abs/1906.02285 (2019) - [i57]Nazneen Fatema Rajani, Bryan McCann, Caiming Xiong, Richard Socher:
Explain Yourself! Leveraging Language Models for Commonsense Reasoning. CoRR abs/1906.02361 (2019) - [i56]Wenling Shang, Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Learning World Graphs to Accelerate Hierarchical Reinforcement Learning. CoRR abs/1907.00664 (2019) - [i55]Wojciech Kryscinski, Nitish Shirish Keskar, Bryan McCann, Caiming Xiong, Richard Socher:
Neural Text Summarization: A Critical Evaluation. CoRR abs/1908.08960 (2019) - [i54]Mingfei Gao, Larry S. Davis, Richard Socher, Caiming Xiong:
WSLLN: Weakly Supervised Natural Language Localization Networks. CoRR abs/1909.00239 (2019) - [i53]Rui Zhang, Tao Yu, Heyang Er, Sungrok Shim, Eric Xue, Xi Victoria Lin, Tianze Shi, Caiming Xiong, Richard Socher, Dragomir R. Radev:
Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions. CoRR abs/1909.00786 (2019) - [i52]Tong Niu, Caiming Xiong, Richard Socher:
Deleter: Leveraging BERT to Perform Unsupervised Successive Text Compression. CoRR abs/1909.03223 (2019) - [i51]Tao Yu, Rui Zhang, Heyang Er, Suyi Li, Eric Xue, Bo Pang, Xi Victoria Lin, Yi Chern Tan, Tianze Shi, Zihan Li, Youxuan Jiang, Michihiro Yasunaga, Sungrok Shim, Tao Chen, Alexander R. Fabbri, Zifan Li, Luyao Chen, Yuwen Zhang, Shreya Dixit, Vincent Zhang, Caiming Xiong, Richard Socher, Walter S. Lasecki, Dragomir R. Radev:
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases. CoRR abs/1909.05378 (2019) - [i50]Nitish Shirish Keskar, Bryan McCann, Lav R. Varshney, Caiming Xiong, Richard Socher:
CTRL: A Conditional Transformer Language Model for Controllable Generation. CoRR abs/1909.05858 (2019) - [i49]Devansh Arpit, Caiming Xiong, Richard Socher:
Entropy Penalty: Towards Generalization Beyond the IID Assumption. CoRR abs/1910.00164 (2019) - [i48]Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong:
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. CoRR abs/1910.03544 (2019) - [i47]Ryan Theisen, Jason M. Klusowski, Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Global Capacity Measures for Deep ReLU Networks via Path Sampling. CoRR abs/1910.10245 (2019) - [i46]Wojciech Kryscinski, Bryan McCann, Caiming Xiong, Richard Socher:
Evaluating the Factual Consistency of Abstractive Text Summarization. CoRR abs/1910.12840 (2019) - [i45]Michael Shum, Stephan Zheng, Wojciech Kryscinski, Caiming Xiong, Richard Socher:
Sketch-Fill-A-R: A Persona-Grounded Chit-Chat Generation Framework. CoRR abs/1910.13008 (2019) - [i44]Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher:
Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards. CoRR abs/1911.01417 (2019) - [i43]Jay DeYoung, Sarthak Jain, Nazneen Fatema Rajani, Eric Lehman, Caiming Xiong, Richard Socher, Byron C. Wallace:
ERASER: A Benchmark to Evaluate Rationalized NLP Models. CoRR abs/1911.03429 (2019) - [i42]Linqing Liu, Huan Wang, Jimmy Lin, Richard Socher, Caiming Xiong:
Attentive Student Meets Multi-Task Teacher: Improved Knowledge Distillation for Pretrained Models. CoRR abs/1911.03588 (2019) - [i41]Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio:
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. CoRR abs/1911.07421 (2019) - [i40]Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong:
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering. CoRR abs/1911.10470 (2019) - [i39]Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis:
LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition. CoRR abs/1912.01601 (2019) - [i38]Hengduo Li, Zuxuan Wu, Chen Zhu, Caiming Xiong, Richard Socher, Larry S. Davis:
Learning from Noisy Anchors for One-stage Object Detection. CoRR abs/1912.05086 (2019) - 2018
- [c40]Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu:
Neural Abstract Style Transfer for Chinese Traditional Painting. ACCV (2) 2018: 212-227 - [c39]Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Encoder for Dialogue State Tracking. ACL (1) 2018: 1458-1467 - [c38]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. ACL (1) 2018: 1725-1735 - [c37]Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong:
End-to-End Dense Video Captioning With Masked Transformer. CVPR 2018: 8739-8748 - [c36]Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher:
Improving Abstraction in Text Summarization. EMNLP 2018: 1808-1817 - [c35]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Multi-Hop Knowledge Graph Reasoning with Reward Shaping. EMNLP 2018: 3243-3253 - [c34]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improving End-to-End Speech Recognition with Policy Learning. ICASSP 2018: 5819-5823 - [c33]Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher:
Non-Autoregressive Neural Machine Translation. ICLR (Poster) 2018 - [c32]Romain Paulus, Caiming Xiong, Richard Socher:
A Deep Reinforced Model for Abstractive Summarization. ICLR (Poster) 2018 - [c31]Tianmin Shu, Caiming Xiong, Richard Socher:
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. ICLR (Poster) 2018 - [c30]Alexander Trott, Caiming Xiong, Richard Socher:
Interpretable Counting for Visual Question Answering. ICLR (Poster) 2018 - [c29]Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective And Deep Residual Coattention for Question Answering. ICLR (Poster) 2018 - [c28]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. INTERSPEECH 2018: 3758-3762 - [i37]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation. CoRR abs/1804.00522 (2018) - [i36]Luowei Zhou, Yingbo Zhou, Jason J. Corso, Richard Socher, Caiming Xiong:
End-to-End Dense Video Captioning with Masked Transformer. CoRR abs/1804.00819 (2018) - [i35]Sewon Min, Victor Zhong, Richard Socher, Caiming Xiong:
Efficient and Robust Question Answering from Minimal Context over Documents. CoRR abs/1805.08092 (2018) - [i34]Victor Zhong, Caiming Xiong, Richard Socher:
Global-Locally Self-Attentive Dialogue State Tracker. CoRR abs/1805.09655 (2018) - [i33]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Using Mode Connectivity for Loss Landscape Analysis. CoRR abs/1806.06977 (2018) - [i32]Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
The Natural Language Decathlon: Multitask Learning as Question Answering. CoRR abs/1806.08730 (2018) - [i31]Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher:
Augmented Cyclic Adversarial Learning for Domain Adaptation. CoRR abs/1807.00374 (2018) - [i30]Wojciech Kryscinski, Romain Paulus, Caiming Xiong, Richard Socher:
Improving Abstraction in Text Summarization. CoRR abs/1808.07913 (2018) - [i29]Xi Victoria Lin, Richard Socher, Caiming Xiong:
Multi-Hop Knowledge Graph Reasoning with Reward Shaping. CoRR abs/1808.10568 (2018) - [i28]Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
Identifying Generalization Properties in Neural Networks. CoRR abs/1809.07402 (2018) - [i27]Tianmin Shu, Caiming Xiong, Ying Nian Wu, Song-Chun Zhu:
Interactive Agent Modeling by Learning to Probe. CoRR abs/1810.00510 (2018) - [i26]Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher:
A Closer Look at Deep Learning Heuristics: Learning rate restarts, Warmup and Distillation. CoRR abs/1810.13243 (2018) - [i25]Zuxuan Wu, Caiming Xiong, Chih-Yao Ma, Richard Socher, Larry S. Davis:
AdaFrame: Adaptive Frame Selection for Fast Video Recognition. CoRR abs/1811.12432 (2018) - [i24]Bo Li, Caiming Xiong, Tianfu Wu, Yu Zhou, Lun Zhang, Rufeng Chu:
Neural Abstract Style Transfer for Chinese Traditional Painting. CoRR abs/1812.03264 (2018) - 2017
- [j5]Caiming Xiong, David M. Johnson, Jason J. Corso:
Active Clustering with Model-Based Uncertainty Reduction. IEEE Trans. Pattern Anal. Mach. Intell. 39(1): 5-17 (2017) - [c27]Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher:
Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning. CVPR 2017: 3242-3250 - [c26]Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. EMNLP 2017: 1923-1933 - [c25]James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher:
Quasi-Recurrent Neural Networks. ICLR (Poster) 2017 - [c24]Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher:
Pointer Sentinel Mixture Models. ICLR (Poster) 2017 - [c23]Caiming Xiong, Victor Zhong, Richard Socher:
Dynamic Coattention Networks For Question Answering. ICLR (Poster) 2017 - [c22]Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher:
Learned in Translation: Contextualized Word Vectors. NIPS 2017: 6294-6305 - [i23]Chenliang Xu, Caiming Xiong, Jason J. Corso:
Action Understanding with Multiple Classes of Actors. CoRR abs/1704.08723 (2017) - [i22]Romain Paulus, Caiming Xiong, Richard Socher:
A Deep Reinforced Model for Abstractive Summarization. CoRR abs/1705.04304 (2017) - [i21]Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher:
Learned in Translation: Contextualized Word Vectors. CoRR abs/1708.00107 (2017) - [i20]Victor Zhong, Caiming Xiong, Richard Socher:
Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning. CoRR abs/1709.00103 (2017) - [i19]Caiming Xiong, Victor Zhong, Richard Socher:
DCN+: Mixed Objective and Deep Residual Coattention for Question Answering. CoRR abs/1711.00106 (2017) - [i18]Jiatao Gu, James Bradbury, Caiming Xiong, Victor O. K. Li, Richard Socher:
Non-Autoregressive Neural Machine Translation. CoRR abs/1711.02281 (2017) - [i17]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improving End-to-End Speech Recognition with Policy Learning. CoRR abs/1712.07101 (2017) - [i16]Yingbo Zhou, Caiming Xiong, Richard Socher:
Improved Regularization Techniques for End-to-End Speech Recognition. CoRR abs/1712.07108 (2017) - [i15]Tianmin Shu, Caiming Xiong, Richard Socher:
Hierarchical and Interpretable Skill Acquisition in Multi-task Reinforcement Learning. CoRR abs/1712.07294 (2017) - [i14]Huishuai Zhang, Caiming Xiong, James Bradbury, Richard Socher:
Block-diagonal Hessian-free Optimization for Training Neural Networks. CoRR abs/1712.07296 (2017) - [i13]Alexander Trott, Caiming Xiong, Richard Socher:
Interpretable Counting for Visual Question Answering. CoRR abs/1712.08697 (2017) - 2016
- [j4]David M. Johnson, Caiming Xiong, Jason J. Corso:
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies. IEEE Trans. Knowl. Data Eng. 28(4): 1035-1046 (2016) - [c21]Gang Chen, Haiying Zhang, Caiming Xiong:
Maximum Margin Dirichlet Process Mixtures for Clustering. AAAI 2016: 1491-1497 - [c20]Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu:
Recognizing Car Fluents from Video. CVPR 2016: 3803-3812 - [c19]Caiming Xiong, Stephen Merity, Richard Socher:
Dynamic Memory Networks for Visual and Textual Question Answering. ICML 2016: 2397-2406 - [c18]Caiming Xiong, Nishant Shukla, Wenlong Xiong, Song-Chun Zhu:
Robot learning with a spatial, temporal, and causal and-or graph. ICRA 2016: 2144-2151 - [c17]Shaohua Yang, Qiaozi Gao, Changsong Liu, Caiming Xiong, Song-Chun Zhu, Joyce Y. Chai:
Grounded Semantic Role Labeling. HLT-NAACL 2016: 149-159 - [i12]Caiming Xiong, Stephen Merity, Richard Socher:
Dynamic Memory Networks for Visual and Textual Question Answering. CoRR abs/1603.01417 (2016) - [i11]Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu:
Recognizing Car Fluents from Video. CoRR abs/1603.08067 (2016) - [i10]Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher:
Pointer Sentinel Mixture Models. CoRR abs/1609.07843 (2016) - [i9]James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher:
Quasi-Recurrent Neural Networks. CoRR abs/1611.01576 (2016) - [i8]Kazuma Hashimoto, Caiming Xiong, Yoshimasa Tsuruoka, Richard Socher:
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks. CoRR abs/1611.01587 (2016) - [i7]Caiming Xiong, Victor Zhong, Richard Socher:
Dynamic Coattention Networks For Question Answering. CoRR abs/1611.01604 (2016) - [i6]Shayne Longpre, Sabeek Pradhan, Caiming Xiong, Richard Socher:
A Way out of the Odyssey: Analyzing and Combining Recent Insights for LSTMs. CoRR abs/1611.05104 (2016) - [i5]Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher:
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning. CoRR abs/1612.01887 (2016) - 2015
- [j3]Gui-Song Xia, Zifeng Wang, Caiming Xiong, Liangpei Zhang:
Accurate Annotation of Remote Sensing Images via Active Spectral Clustering with Little Expert Knowledge. Remote. Sens. 7(11): 15014-15045 (2015) - [c16]Ran Xu, Caiming Xiong, Wei Chen, Jason J. Corso:
Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework. AAAI 2015: 2346-2352 - [c15]Nishant Shukla, Caiming Xiong, Song-Chun Zhu:
A Unified Framework for Human-Robot Knowledge Transfer. AAAI Fall Symposia 2015: 125-127 - [c14]Bruce Xiaohan Nie, Caiming Xiong, Song-Chun Zhu:
Joint action recognition and pose estimation from video. CVPR 2015: 1293-1301 - [c13]Chenliang Xu, Shao-Hang Hsieh, Caiming Xiong, Jason J. Corso:
Can humans fly? Action understanding with multiple classes of actors. CVPR 2015: 2264-2273 - 2014
- [c12]Caiming Xiong, Scott McCloskey, Shao-Hang Hsieh, Jason J. Corso:
Latent Domains Modeling for Visual Domain Adaptation. AAAI 2014: 2860-2866 - [c11]Wei Chen, Caiming Xiong, Ran Xu, Jason J. Corso:
Actionness Ranking with Lattice Conditional Ordinal Random Fields. CVPR 2014: 748-755 - [c10]Andrei Barbu, Daniel Paul Barrett, Wei Chen, Siddharth Narayanaswamy, Caiming Xiong, Jason J. Corso, Christiane D. Fellbaum, Catherine Hanson, Stephen José Hanson, Sébastien Hélie, Evguenia Malaia, Barak A. Pearlmutter, Jeffrey Mark Siskind, Thomas Michael Talavage, Ronnie B. Wilbur:
Seeing is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions. ECCV (5) 2014: 612-627 - [c9]Zifeng Wang, Gui-Song Xia, Caiming Xiong, Liangpei Zhang:
Spectral active clustering of remote sensing images. IGARSS 2014: 1737-1740 - [c8]Caiming Xiong, Wei Chen, Gang Chen, David M. Johnson, Jason J. Corso:
Adaptive Quantization for Hashing: An Information-Based Approach to Learning Binary Codes. SDM 2014: 172-180 - [i4]Caiming Xiong, David M. Johnson, Jason J. Corso:
Active Clustering with Model-Based Uncertainty Reduction. CoRR abs/1402.1783 (2014) - [i3]David M. Johnson, Caiming Xiong, Jason J. Corso:
Semi-Supervised Nonlinear Distance Metric Learning via Forests of Max-Margin Cluster Hierarchies. CoRR abs/1402.5565 (2014) - [i2]Ran Xu, Gang Chen, Caiming Xiong, Wei Chen, Jason J. Corso:
Compositional Structure Learning for Action Understanding. CoRR abs/1410.5861 (2014) - 2013
- [c7]David M. Johnson, Caiming Xiong, Jing Gao, Jason J. Corso:
Comprehensive Cross-Hierarchy Cluster Agreement Evaluation. AAAI (Late-Breaking Developments) 2013 - [c6]Caiming Xiong, David M. Johnson, Jason J. Corso:
Uncertainty Reduction for Active Image Clustering via a Hybrid Global-Local Uncertainty Model. AAAI (Late-Breaking Developments) 2013 - 2012
- [c5]Chenliang Xu, Caiming Xiong, Jason J. Corso:
Streaming Hierarchical Video Segmentation. ECCV (6) 2012: 626-639 - [c4]Gang Chen, Caiming Xiong, Jason J. Corso:
Dictionary transfer for image denoising via domain adaptation. ICIP 2012: 1189-1192 - [c3]Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso:
Random forests for metric learning with implicit pairwise position dependence. KDD 2012: 958-966 - [i1]Caiming Xiong, David M. Johnson, Ran Xu, Jason J. Corso:
Random Forests for Metric Learning with Implicit Pairwise Position Dependence. CoRR abs/1201.0610 (2012) - 2011
- [c2]Digvijay Gagneja, Caiming Xiong, Jason J. Corso:
Towards a parts-based approach to sub-cortical brain structure parsing. Image Processing 2011: 79623O - [c1]Daniel R. Schlegel, Albert Y. C. Chen, Caiming Xiong, Jeffrey A. Delmerico, Jason J. Corso:
AirTouch: Interacting with computer systems at a distance. WACV 2011: 1-8
2000 – 2009
- 2009
- [j2]Liang Lin, Yongtian Wang, Yue Liu, Caiming Xiong, Kun Zeng:
Marker-less registration based on template tracking for augmented reality. Multim. Tools Appl. 41(2): 235-252 (2009) - [j1]Kun Zeng, Mingtian Zhao, Caiming Xiong, Song Chun Zhu:
From image parsing to painterly rendering. ACM Trans. Graph. 29(1): 2:1-2:11 (2009)
Coauthor Index
Larry Davis 0001
aka: Larry S. Davis
aka: Larry S. Davis
Steven C. H. Hoi
aka: Steven Chu-Hong Hoi
aka: Steven Chu-Hong Hoi
Shafiq R. Joty
aka: Shafiq Joty
aka: Shafiq Joty
Dragomir R. Radev
aka: Dragomir Radev
aka: Dragomir Radev
Nazneen Fatema Rajani
aka: Nazneen Rajani
aka: Nazneen Rajani
[c214] [c212] [c211] [c209] [c207] [c202] [c199] [c197] [i277] [i276] [i275] [i274] [i273] [i272] [i268] [i264] [i263] [i262] [i260] [i257] [i254] [i253] [i252] [i251] [i250] [i243] [i242] [i238] [i236] [i235] [j12] [c185] [c182] [c179] [c169] [c164] [c162] [i224] [i221] [i218] [i217] [i210] [i209] [i208] [i207] [i206] [i204] [i199] [i191] [c131] [i183] [i180] [i158] [i157] [i151] [i130]
[i181] [j6] [c121] [c111] [c108] [c105] [c103] [c99] [i140] [c91] [c90] [c89] [c87] [c86] [c84] [c83] [c80] [c78] [c76] [c75] [c74] [c73] [c72] [c71] [c70] [c69] [c68] [c67] [c65] [c64] [i113] [i112] [i111] [i109] [i107] [i105] [i103] [i102] [i101] [i100] [i99] [i98] [i97] [i96] [i95] [i94] [i92] [i91] [i89] [i85] [i84] [i81] [i72] [i71] [c63] [c62] [c61] [c60] [c59] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c48] [c47] [c46] [c45] [c44] [c42] [c41] [i69] [i68] [i67] [i66] [i64] [i63] [i62] [i61] [i60] [i59] [i58] [i57] [i56] [i55] [i54] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i45] [i44] [i43] [i42] [i40] [i38] [c39] [c38] [c37] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c28] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i26] [i25] [c27] [c26] [c25] [c24] [c23] [c22] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [c19] [i12] [i10] [i9] [i8] [i7] [i6] [i5]
Alexander Trott
aka: Alexander R. Trott
aka: Alexander R. Trott
[c214] [c212] [c209] [c202] [c201] [c199] [i277] [i276] [i274] [i273] [i272] [i264] [i262] [i253] [i252] [i251] [i250] [i236] [j12] [c170] [c169] [c167] [c166] [c165] [c164] [c162] [i232] [i231] [i230] [i227] [i225] [i224] [i217] [i212] [i211] [i210] [i209] [i208] [i207] [i206] [i199] [c141] [c133] [c131] [i185] [i181] [i180] [i170] [c126] [c107] [c106] [c105] [c99] [c97] [c96] [c95] [i152] [i151] [i150] [i140] [i138] [i136] [i130] [c86] [c68] [i112] [i111] [i99] [i86] [i71] [c44] [i59] [i47] [i42] [i28]
Chien-Sheng Wu
aka: Chien-Sheng Jason Wu
aka: Chien-Sheng Jason Wu
[c206] [c195] [c191] [i267] [i261] [i257] [i248] [i239] [i237] [j10] [c188] [c187] [c186] [c184] [c177] [c176] [c175] [c174] [c168] [i229] [i226] [i216] [i215] [i213] [i204] [i203] [i202] [i197] [i195] [i194] [c157] [c156] [c150] [c149] [c148] [c143] [c138] [c136] [c135] [i188] [i184] [i175] [i174] [i169] [i163] [i162] [i160] [i156] [c124] [c111] [i144] [i142] [i125] [i124] [i115] [c90] [c83] [c82] [c79] [c77] [c76] [c64] [i107] [i102] [i91] [i90] [i81] [i80] [i79] [c63] [c48] [i67] [i61] [i48]
[c215] [c212] [c211] [c208] [c207] [c199] [c198] [c196] [i279] [i274] [i271] [i264] [i263] [i252] [i251] [i250] [i241] [i238] [c182] [c173] [c172] [c164] [i233] [i224] [i223] [i218] [i217] [i210] [i208] [i207] [i191] [c153] [c152] [c151] [i176] [i157] [i155] [c121] [c92] [i128] [i127] [i118] [i116] [i114] [i101] [c16] [c11] [i2] [c3] [i1]
[j13] [c210] [c205] [c204] [c203] [c192] [i278] [i266] [i260] [i253] [i251] [i244] [i234] [j12] [c185] [c180] [c179] [c178] [c169] [c164] [i222] [i221] [i219] [i217] [i205] [i204] [i201] [i190] [c160] [c159] [c155] [c147] [c144] [c141] [c134] [i185] [i183] [i181] [i180] [i173] [i172] [i168] [i164] [i161] [i158] [c121] [c118] [c117] [c110] [c109] [i131] [i130] [i120] [i119] [c69] [c67] [i110] [i101] [i88] [i84] [i83] [i82] [c51] [c46] [i63] [c37] [c34] [c28] [i37] [i36] [i31] [i17] [i16]
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last updated on 2024-12-13 20:06 CET by the dblp team
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