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2020 – today
- 2024
- [j40]Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang:
ChatGPT: potential, prospects, and limitations. Frontiers Inf. Technol. Electron. Eng. 25(1): 6-11 (2024) - [j39]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4066-4076 (2024) - [c209]Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. ACL (1) 2024: 3201-3219 - [c208]Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang:
EmoBench: Evaluating the Emotional Intelligence of Large Language Models. ACL (1) 2024: 5986-6004 - [c207]Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang:
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. ACL (1) 2024: 8865-8887 - [c206]Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) 2024: 11621-11640 - [c205]Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang:
Learning Task Decomposition to Assist Humans in Competitive Programming. ACL (1) 2024: 11700-11723 - [c204]Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) 2024: 13034-13054 - [c203]Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Shuo Shang, Zhiliang Tian, Minlie Huang:
360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System. ACL (Findings) 2024: 13149-13162 - [c202]Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang:
SafetyBench: Evaluating the Safety of Large Language Models. ACL (1) 2024: 15537-15553 - [c201]Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang:
ToMBench: Benchmarking Theory of Mind in Large Language Models. ACL (1) 2024: 15959-15983 - [c200]Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Helen Meng, Minlie Huang:
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind. ACL (1) 2024: 15984-16007 - [c199]Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou:
Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs. LREC/COLING 2024: 9131-9142 - [c198]Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei:
Instruction Pre-Training: Language Models are Supervised Multitask Learners. EMNLP 2024: 2529-2550 - [c197]Hao Wang, Hao Li, Minlie Huang, Lei Sha:
ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings. EMNLP 2024: 2697-2711 - [c196]Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. EMNLP (Findings) 2024: 6786-6803 - [c195]Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang:
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. EMNLP (Findings) 2024: 10420-10438 - [c194]Bowen Xing, Lizi Liao, Minlie Huang, Ivor W. Tsang:
DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding. EMNLP 2024: 14520-14534 - [c193]Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan:
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. EMNLP 2024: 20924-20938 - [c192]Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie:
Thoughts to Target: Enhance Planning for Target-driven Conversation. EMNLP 2024: 21108-21124 - [c191]Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang:
AgentBench: Evaluating LLMs as Agents. ICLR 2024 - [c190]Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen:
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. ICLR 2024 - [c189]Yuxian Gu, Li Dong, Furu Wei, Minlie Huang:
MiniLLM: Knowledge Distillation of Large Language Models. ICLR 2024 - [c188]Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang:
Language Model Decoding as Direct Metrics Optimization. ICLR 2024 - [c187]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR 2024 - [c186]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient Exact Optimization of Language Model Alignment. ICML 2024 - [c185]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
On Prompt-Driven Safeguarding for Large Language Models. ICML 2024 - [c184]Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng:
Language Models Hallucinate, but May Excel at Fact Verification. NAACL-HLT 2024: 1090-1111 - [c183]Zhuang Chen, Jiawen Deng, Jinfeng Zhou, Jincenzi Wu, Tieyun Qian, Minlie Huang:
Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. NAACL-HLT 2024: 8181-8194 - [c182]Yaru Cao, Zhuang Chen, Guanqun Bi, Yulin Feng, Min Chen, Fucheng Wan, Minlie Huang, Hongzhi Yu:
Enhancing Emotional Support Conversation with Cognitive Chain-of-Thought Reasoning. NLPCC (1) 2024: 175-187 - [i191]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
Prompt-Driven LLM Safeguarding via Directed Representation Optimization. CoRR abs/2401.18018 (2024) - [i190]Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang:
Towards Efficient and Exact Optimization of Language Model Alignment. CoRR abs/2402.00856 (2024) - [i189]Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang:
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback. CoRR abs/2402.01469 (2024) - [i188]Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Juanzi Li, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang:
EmoBench: Evaluating the Emotional Intelligence of Large Language Models. CoRR abs/2402.12071 (2024) - [i187]Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang:
ToMBench: Benchmarking Theory of Mind in Large Language Models. CoRR abs/2402.15052 (2024) - [i186]Hao Wang, Hao Li, Minlie Huang, Lei Sha:
From Noise to Clarity: Unraveling the Adversarial Suffix of Large Language Model Attacks via Translation of Text Embeddings. CoRR abs/2402.16006 (2024) - [i185]Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang:
ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. CoRR abs/2402.16444 (2024) - [i184]Yiping Song, Juhua Zhang, Zhiliang Tian, Yuxin Yang, Minlie Huang, Dongsheng Li:
LLM-based Privacy Data Augmentation Guided by Knowledge Distillation with a Distribution Tutor for Medical Text Classification. CoRR abs/2402.16515 (2024) - [i183]Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei:
Towards Optimal Learning of Language Models. CoRR abs/2402.17759 (2024) - [i182]Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong:
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. CoRR abs/2404.00934 (2024) - [i181]Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Zhiliang Tian, Minlie Huang, Shuo Shang:
360{\deg}REA: Towards A Reusable Experience Accumulation with 360{\deg} Assessment for Multi-Agent System. CoRR abs/2404.05569 (2024) - [i180]Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng:
Weak-to-Strong Extrapolation Expedites Alignment. CoRR abs/2404.16792 (2024) - [i179]Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li:
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering. CoRR abs/2405.14383 (2024) - [i178]Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang:
Learning Task Decomposition to Assist Humans in Competitive Programming. CoRR abs/2406.04604 (2024) - [i177]Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang:
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR abs/2406.12793 (2024) - [i176]Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei:
Instruction Pre-Training: Language Models are Supervised Multitask Learners. CoRR abs/2406.14491 (2024) - [i175]Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. CoRR abs/2406.16714 (2024) - [i174]Zhexin Zhang, Junxiao Yang, Pei Ke, Shiyao Cui, Chujie Zheng, Hongning Wang, Minlie Huang:
Safe Unlearning: A Surprisingly Effective and Generalizable Solution to Defend Against Jailbreak Attacks. CoRR abs/2407.02855 (2024) - [i173]Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang:
Benchmarking Complex Instruction-Following with Multiple Constraints Composition. CoRR abs/2407.03978 (2024) - [i172]Zhuocheng Gong, Ang Lv, Jian Guan, Junxi Yan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan:
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. CoRR abs/2407.06677 (2024) - [i171]Jianian Gong, Nachuan Duan, Ziheng Tao, Zhaohui Gong, Yuan Yuan, Minlie Huang:
How Well Do Large Language Models Serve as End-to-End Secure Code Producers? CoRR abs/2408.10495 (2024) - [i170]Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. CoRR abs/2408.15778 (2024) - [i169]Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang:
CodePlan: Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning. CoRR abs/2409.12452 (2024) - [i168]Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Samuel R. Bowman, He He, Shi Feng:
Language Models Learn to Mislead Humans via RLHF. CoRR abs/2409.12822 (2024) - [i167]Xuanming Zhang, Yuxuan Chen, Yuan Yuan, Minlie Huang:
Seeker: Enhancing Exception Handling in Code with LLM-based Multi-Agent Approach. CoRR abs/2410.06949 (2024) - [i166]Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang:
Data Selection via Optimal Control for Language Models. CoRR abs/2410.07064 (2024) - 2023
- [j38]Sahand Sabour, Wen Zhang, Xiyao Xiao, Yuwei Zhang, Yinhe Zheng, Jiaxin Wen, Jialu Zhao, Minlie Huang:
A chatbot for mental health support: exploring the impact of Emohaa on reducing mental distress in China. Frontiers Digit. Health 5 (2023) - [j37]Yuxian Gu, Jiaxin Wen, Hao Sun, Yi Song, Pei Ke, Chujie Zheng, Zheng Zhang, Jianzhu Yao, Lei Liu, Xiaoyan Zhu, Minlie Huang:
EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training. Mach. Intell. Res. 20(2): 207-219 (2023) - [j36]Yilin Niu, Fei Huang, Wei Liu, Jianwei Cui, Bin Wang, Minlie Huang:
Bridging the Gap between Synthetic and Natural Questions via Sentence Decomposition for Semantic Parsing. Trans. Assoc. Comput. Linguistics 11: 367-383 (2023) - [j35]Fei Huang, Pei Ke, Minlie Huang:
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. Trans. Assoc. Comput. Linguistics 11: 941-959 (2023) - [j34]Fangkai Jiao, Yangyang Guo, Minlie Huang, Liqiang Nie:
Enhanced Multi-Domain Dialogue State Tracker With Second-Order Slot Interactions. IEEE ACM Trans. Audio Speech Lang. Process. 31: 265-276 (2023) - [c181]Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang:
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. AAAI 2023: 12836-12844 - [c180]Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
KPT: Keyword-Guided Pre-training for Grounded Dialog Generation. AAAI 2023: 14065-14073 - [c179]Zhexin Zhang, Jian Guan, Xin Cui, Yu Ran, Bo Liu, Minlie Huang:
Self-Supervised Sentence Polishing by Adding Engaging Modifiers. ACL (demo) 2023: 499-507 - [c178]Jiale Cheng, Sahand Sabour, Hao Sun, Zhuang Chen, Minlie Huang:
PAL: Persona-Augmented Emotional Support Conversation Generation. ACL (Findings) 2023: 535-554 - [c177]Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang:
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. ACL (Findings) 2023: 1022-1040 - [c176]Chujie Zheng, Sahand Sabour, Jiaxin Wen, Zheng Zhang, Minlie Huang:
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation. ACL (Findings) 2023: 1552-1568 - [c175]Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu:
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. ACL (Findings) 2023: 1619-1634 - [c174]Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang:
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach. ACL (1) 2023: 1714-1729 - [c173]Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang:
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions. ACL (1) 2023: 2213-2230 - [c172]Yuxian Gu, Li Dong, Furu Wei, Minlie Huang:
Pre-Training to Learn in Context. ACL (1) 2023: 4849-4870 - [c171]Jian Guan, Minlie Huang:
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. ACL (Findings) 2023: 6897-6909 - [c170]Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang, Minlie Huang:
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation. ACL (1) 2023: 8223-8237 - [c169]Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. ACL (1) 2023: 9676-9691 - [c168]Zhexin Zhang, Jiaxin Wen, Minlie Huang:
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. ACL (1) 2023: 12674-12687 - [c167]Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang:
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. ACL (Findings) 2023: 13481-13494 - [c166]Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu:
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. ACL (1) 2023: 14803-14819 - [c165]Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua:
Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond. ACL (tutorial) 2023: 1-10 - [c164]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Shutong Feng, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. EMNLP (Demos) 2023: 106-123 - [c163]Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang:
Unveiling the Implicit Toxicity in Large Language Models. EMNLP 2023: 1322-1338 - [c162]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. EMNLP (Findings) 2023: 9248-9274 - [c161]Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang:
Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. EMNLP 2023: 9878-9894 - [c160]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Minlie Huang:
InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning. EMNLP (Findings) 2023: 10421-10436 - [c159]Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang:
Multi-Source Probing for Open-Domain Conversational Understanding. EMNLP 2023: 12491-12505 - [c158]Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea:
Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond. EMNLP 2023: 15264-15281 - [c157]Qi Zhu, Zheng Zhang, Xiaoyan Zhu, Minlie Huang:
Building Multi-domain Dialog State Trackers from Single-domain Dialogs. EMNLP 2023: 15323-15335 - [c156]Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang:
Tailoring Language Generation Models under Total Variation Distance. ICLR 2023 - [c155]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. ICML 2023: 30706-30775 - [c154]Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua:
Rethinking Conversational Agents in the Era of LLMs: Proactivity, Non-collaborativity, and Beyond. SIGIR-AP 2023: 298-301 - [i165]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. CoRR abs/2302.00618 (2023) - [i164]Jiawen Deng, Hao Sun, Zhexin Zhang, Jiale Cheng, Minlie Huang:
Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey. CoRR abs/2302.09270 (2023) - [i163]Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang:
Tailoring Language Generation Models under Total Variation Distance. CoRR abs/2302.13344 (2023) - [i162]Hao Sun, Zhexin Zhang, Jiawen Deng, Jiale Cheng, Minlie Huang:
Safety Assessment of Chinese Large Language Models. CoRR abs/2304.10436 (2023) - [i161]Fei Huang, Pei Ke, Minlie Huang:
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. CoRR abs/2304.11791 (2023) - [i160]Jiaxin Wen, Hao Zhou, Minlie Huang:
Re3Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training. CoRR abs/2305.02606 (2023) - [i159]Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Minlie Huang:
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind. CoRR abs/2305.05390 (2023) - [i158]Yuxian Gu, Li Dong, Furu Wei, Minlie Huang:
Pre-Training to Learn in Context. CoRR abs/2305.09137 (2023) - [i157]Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen:
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. CoRR abs/2305.15294 (2023) - [i156]Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu:
E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. CoRR abs/2305.17854 (2023) - [i155]Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang:
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. CoRR abs/2306.00418 (2023) - [i154]Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang:
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. CoRR abs/2306.03350 (2023) - [i153]Mengting Hu, Zhen Zhang, Shiwan Zhao, Minlie Huang, Bingzhe Wu:
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications. CoRR abs/2306.04459 (2023) - [i152]Yuxian Gu, Li Dong, Furu Wei, Minlie Huang:
Knowledge Distillation of Large Language Models. CoRR abs/2306.08543 (2023) - [i151]Jian Guan, Minlie Huang:
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. CoRR abs/2307.01542 (2023) - [i150]Zhexin Zhang, Jiaxin Wen, Minlie Huang:
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. CoRR abs/2307.04401 (2023) - [i149]Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. CoRR abs/2307.06869 (2023) - [i148]Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang:
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach. CoRR abs/2307.07994 (2023) - [i147]Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang:
AgentBench: Evaluating LLMs as Agents. CoRR abs/2308.03688 (2023) - [i146]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. CoRR abs/2309.03882 (2023) - [i145]Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang:
SafetyBench: Evaluating the Safety of Large Language Models with Multiple Choice Questions. CoRR abs/2309.07045 (2023) - [i144]Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen:
ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving. CoRR abs/2309.17452 (2023) - [i143]Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang:
Language Model Decoding as Direct Metrics Optimization. CoRR abs/2310.01041 (2023) - [i142]Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea:
Enhancing Long-form Text Generation Efficacy with Task-adaptive Tokenization. CoRR abs/2310.05317 (2023) - [i141]Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng:
Language Models Hallucinate, but May Excel at Fact Verification. CoRR abs/2310.14564 (2023) - [i140]Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang:
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. CoRR abs/2311.04155 (2023) - [i139]Zhexin Zhang, Junxiao Yang, Pei Ke, Minlie Huang:
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. CoRR abs/2311.09096 (2023) - [i138]Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Jie Tang, Minlie Huang:
CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models. CoRR abs/2311.16832 (2023) - [i137]Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang:
Unveiling the Implicit Toxicity in Large Language Models. CoRR abs/2311.17391 (2023) - [i136]Pei Ke, Bosi Wen, Zhuoer Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang:
CritiqueLLM: Scaling LLM-as-Critic for Effective and Explainable Evaluation of Large Language Model Generation. CoRR abs/2311.18702 (2023) - [i135]Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Zhuoer Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang:
AlignBench: Benchmarking Chinese Alignment of Large Language Models. CoRR abs/2311.18743 (2023) - 2022
- [j33]Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang:
LOT: A Story-Centric Benchmark for Evaluating Chinese Long Text Understanding and Generation. Trans. Assoc. Comput. Linguistics 10: 434-451 (2022) - [j32]Zhihong Shao, Zhongqin Wu, Minlie Huang:
AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1184-1196 (2022) - [j31]Silin Gao, Ryuichi Takanobu, Antoine Bosselut, Minlie Huang:
End-to-End Task-Oriented Dialog Modeling With Semi-Structured Knowledge Management. IEEE ACM Trans. Audio Speech Lang. Process. 30: 2173-2187 (2022) - [j30]Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Topic-Guided Conversational Recommender in Multiple Domains. IEEE Trans. Knowl. Data Eng. 34(5): 2485-2496 (2022) - [c153]Sahand Sabour, Chujie Zheng, Minlie Huang:
CEM: Commonsense-Aware Empathetic Response Generation. AAAI 2022: 11229-11237 - [c152]Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Rethinking and Refining the Distinct Metric. ACL (2) 2022: 762-770 - [c151]Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, Minlie Huang:
Continual Prompt Tuning for Dialog State Tracking. ACL (1) 2022: 1124-1137 - [c150]Zhihong Shao, Minlie Huang:
Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework. ACL (1) 2022: 1825-1838 - [c149]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. ACL (1) 2022: 2306-2319 - [c148]Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang:
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. ACL (Findings) 2022: 3906-3923 - [c147]Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang:
PPT: Pre-trained Prompt Tuning for Few-shot Learning. ACL (1) 2022: 8410-8423 - [c146]Chujie Zheng, Jinfeng Zhou, Yinhe Zheng, Libiao Peng, Zhen Guo, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Minlie Huang:
CDConv: A Benchmark for Contradiction Detection in Chinese Conversations. EMNLP 2022: 18-29 - [c145]Zhexin Zhang, Jian Guan, Guowei Xu, Yixiang Tian, Minlie Huang:
Automatic Comment Generation for Chinese Student Narrative Essays. EMNLP (Demos) 2022: 214-223 - [c144]Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou:
Aligning Recommendation and Conversation via Dual Imitation. EMNLP 2022: 549-561 - [c143]Fangfang Li, Youran Shan, Junwen Duan, Xingliang Mao, Minlie Huang:
WSpeller: Robust Word Segmentation for Enhancing Chinese Spelling Check. EMNLP (Findings) 2022: 1179-1188 - [c142]Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. EMNLP 2022: 1617-1634 - [c141]Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang:
AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning. EMNLP (Findings) 2022: 2302-2317 - [c140]Zhihong Shao, Fei Huang, Minlie Huang:
Chaining Simultaneous Thoughts for Numerical Reasoning. EMNLP (Findings) 2022: 2533-2547 - [c139]Jingyan Zhou, Jiawen Deng, Fei Mi, Yitong Li, Yasheng Wang, Minlie Huang, Xin Jiang, Qun Liu, Helen Meng:
Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark. EMNLP (Findings) 2022: 3576-3591 - [c138]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang:
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. EMNLP (Findings) 2022: 3684-3697 - [c137]Dazhen Wan, Zheng Zhang, Qi Zhu, Lizi Liao, Minlie Huang:
A Unified Dialogue User Simulator for Few-shot Data Augmentation. EMNLP (Findings) 2022: 3788-3799 - [c136]Jiawen Deng, Jingyan Zhou, Hao Sun, Chujie Zheng, Fei Mi, Helen Meng, Minlie Huang:
COLD: A Benchmark for Chinese Offensive Language Detection. EMNLP 2022: 11580-11599 - [c135]Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang:
Acceleration of Federated Learning with Alleviated Forgetting in Local Training. ICLR 2022 - [c134]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. ICML 2022: 9356-9376 - [c133]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. ICML 2022: 9410-9428 - [c132]Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang:
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation. IJCAI 2022: 4178-4184 - [c131]Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang:
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation. NAACL-HLT 2022: 3346-3361 - [c130]Jian Guan, Ziqi Liu, Minlie Huang:
A Corpus for Understanding and Generating Moral Stories. NAACL-HLT 2022: 5069-5087 - [c129]Haozhe Ji, Rongsheng Zhang, Zhenyu Yang, Zhipeng Hu, Minlie Huang:
LaMemo: Language Modeling with Look-Ahead Memory. NAACL-HLT 2022: 5747-5762 - [i134]Jiawen Deng, Jingyan Zhou, Hao Sun, Fei Mi, Minlie Huang:
COLD: A Benchmark for Chinese Offensive Language Detection. CoRR abs/2201.06025 (2022) - [i133]Rongsheng Zhang, Xiaoxi Mao, Le Li, Lin Jiang, Lin Chen, Zhiwei Hu, Yadong Xi, Changjie Fan, Minlie Huang:
Youling: an AI-Assisted Lyrics Creation System. CoRR abs/2201.06724 (2022) - [i132]Jingyan Zhou, Jiawen Deng, Fei Mi, Yitong Li, Yasheng Wang, Minlie Huang, Xin Jiang, Qun Liu, Helen Meng:
Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks. CoRR abs/2202.08011 (2022) - [i131]Chujie Zheng, Sahand Sabour, Jiaxin Wen, Minlie Huang:
AugESC: Large-scale Data Augmentation for Emotional Support Conversation with Pre-trained Language Models. CoRR abs/2202.13047 (2022) - [i130]Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Rethinking and Refining the Distinct Metric. CoRR abs/2202.13587 (2022) - [i129]Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang:
Acceleration of Federated Learning with Alleviated Forgetting in Local Training. CoRR abs/2203.02645 (2022) - [i128]Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, Minlie Huang:
Continual Prompt Tuning for Dialog State Tracking. CoRR abs/2203.06654 (2022) - [i127]Yuxian Gu, Jiaxin Wen, Hao Sun, Yi Song, Pei Ke, Chujie Zheng, Zheng Zhang, Jianzhu Yao, Lei Liu, Xiaoyan Zhu, Minlie Huang:
EVA2.0: Investigating Open-Domain Chinese Dialogue Systems with Large-Scale Pre-Training. CoRR abs/2203.09313 (2022) - [i126]Yequan Wang, Xuying Meng, Yiyi Liu, Aixin Sun, Yao Wang, Yinhe Zheng, Minlie Huang:
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis. CoRR abs/2203.12254 (2022) - [i125]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. CoRR abs/2204.00862 (2022) - [i124]Haozhe Ji, Rongsheng Zhang, Zhenyu Yang, Zhipeng Hu, Minlie Huang:
LaMemo: Language Modeling with Look-Ahead Memory. CoRR abs/2204.07341 (2022) - [i123]Jian Guan, Ziqi Liu, Minlie Huang:
A Corpus for Understanding and Generating Moral Stories. CoRR abs/2204.09438 (2022) - [i122]Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang:
Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation. CoRR abs/2204.10703 (2022) - [i121]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. CoRR abs/2205.07459 (2022) - [i120]Yi Song, Yuxian Gu, Minlie Huang:
Many-Class Text Classification with Matching. CoRR abs/2205.11409 (2022) - [i119]Yirong Chen, Weiquan Fan, Xiaofen Xing, Jianxin Pang, Minlie Huang, Wenjing Han, Qianfeng Tie, Xiangmin Xu:
CPED: A Large-Scale Chinese Personalized and Emotional Dialogue Dataset for Conversational AI. CoRR abs/2205.14727 (2022) - [i118]Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang:
Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation. CoRR abs/2206.02712 (2022) - [i117]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. CoRR abs/2206.05975 (2022) - [i116]Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang:
Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. CoRR abs/2208.03985 (2022) - [i115]Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang:
Manual-Guided Dialogue for Flexible Conversational Agents. CoRR abs/2208.07597 (2022) - [i114]Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang, Minlie Huang:
CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation. CoRR abs/2208.08845 (2022) - [i113]Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu:
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. CoRR abs/2208.13423 (2022) - [i112]Jianzhu Yao, Ziqi Liu, Jian Guan, Minlie Huang:
A Benchmark for Understanding and Generating Dialogue between Characters in Stories. CoRR abs/2209.08524 (2022) - [i111]Sahand Sabour, Wen Zhang, Xiyao Xiao, Yuwei Zhang, Yinhe Zheng, Jiaxin Wen, Jialu Zhao, Minlie Huang:
Chatbots for Mental Health Support: Exploring the Impact of Emohaa on Reducing Mental Distress in China. CoRR abs/2209.10183 (2022) - [i110]Chujie Zheng, Jinfeng Zhou, Yinhe Zheng, Libiao Peng, Zhen Guo, Wenquan Wu, Zhengyu Niu, Hua Wu, Minlie Huang:
CDConv: A Benchmark for Contradiction Detection in Chinese Conversations. CoRR abs/2210.08511 (2022) - [i109]Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang:
Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. CoRR abs/2210.09175 (2022) - [i108]Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou:
Aligning Recommendation and Conversation via Dual Imitation. CoRR abs/2211.02848 (2022) - [i107]Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang:
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning. CoRR abs/2211.16202 (2022) - [i106]Zhihong Shao, Fei Huang, Minlie Huang:
Chaining Simultaneous Thoughts for Numerical Reasoning. CoRR abs/2211.16482 (2022) - [i105]Qi Zhu, Christian Geishauser, Hsien-Chin Lin, Carel van Niekerk, Baolin Peng, Zheng Zhang, Michael Heck, Nurul Lubis, Dazhen Wan, Xiaochen Zhu, Jianfeng Gao, Milica Gasic, Minlie Huang:
ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. CoRR abs/2211.17148 (2022) - [i104]Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang:
KPT: Keyword-guided Pre-training for Grounded Dialog Generation. CoRR abs/2212.01739 (2022) - [i103]Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang:
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. CoRR abs/2212.01810 (2022) - [i102]Jiale Cheng, Sahand Sabour, Hao Sun, Zhuang Chen, Minlie Huang:
PAL: Persona-Augmented Emotional Support Conversation Generation. CoRR abs/2212.09235 (2022) - [i101]Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang:
MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions. CoRR abs/2212.10720 (2022) - 2021
- [j29]Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A large-scale generative Chinese Pre-trained language model. AI Open 2: 93-99 (2021) - [j28]Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun:
CPM-2: Large-scale cost-effective pre-trained language models. AI Open 2: 216-224 (2021) - [j27]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Yuan Yao, Ao Zhang, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-trained models: Past, present and future. AI Open 2: 225-250 (2021) - [j26]Zixian Feng, Caihai Zhu, Weinan Zhang, Zhigang Chen, Wanxiang Che, Minlie Huang, Linlin Li:
An Evaluation of Chinese Human-Computer Dialogue Technology. Data Intell. 3(2): 274-286 (2021) - [j25]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
Overview of the Eighth Dialog System Technology Challenge: DSTC8. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2529-2540 (2021) - [c128]Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang:
Stylized Dialogue Response Generation Using Stylized Unpaired Texts. AAAI 2021: 14558-14567 - [c127]Yadong Xi, Xiaoxi Mao, Le Li, Lei Lin, Yanjiang Chen, Shuhan Yang, Xuhan Chen, Kailun Tao, Zhi Li, Gongzheng Li, Lin Jiang, Siyan Liu, Zeng Zhao, Minlie Huang, Changjie Fan, Zhipeng Hu:
KuiLeiXi: a Chinese Open-Ended Text Adventure Game. ACL (demo) 2021: 175-184 - [c126]Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang:
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. ACL/IJCNLP (Findings) 2021: 813-824 - [c125]Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang:
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support. ACL/IJCNLP (Findings) 2021: 1489-1503 - [c124]Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang:
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer. ACL/IJCNLP (Findings) 2021: 1577-1590 - [c123]Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang:
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. ACL/IJCNLP (Findings) 2021: 1591-1602 - [c122]Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang:
Stylized Story Generation with Style-Guided Planning. ACL/IJCNLP (Findings) 2021: 2430-2436 - [c121]Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Hongguang Li, Weiran Nie, Cheng Li, Wei Peng, Minlie Huang:
Robustness Testing of Language Understanding in Task-Oriented Dialog. ACL/IJCNLP (1) 2021: 2467-2480 - [c120]Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang:
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. ACL/IJCNLP (Findings) 2021: 2526-2538 - [c119]Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang:
A Semantic-based Method for Unsupervised Commonsense Question Answering. ACL/IJCNLP (1) 2021: 3037-3049 - [c118]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. ACL/IJCNLP (1) 2021: 3350-3363 - [c117]Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang:
Towards Emotional Support Dialog Systems. ACL/IJCNLP (1) 2021: 3469-3483 - [c116]Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang:
Diversifying Dialog Generation via Adaptive Label Smoothing. ACL/IJCNLP (1) 2021: 3507-3520 - [c115]Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang:
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. ACL/IJCNLP (1) 2021: 4111-4124 - [c114]Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang:
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. ACL/IJCNLP (1) 2021: 6379-6393 - [c113]Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. ACL/IJCNLP (1) 2021: 6394-6407 - [c112]Wenchang Ma, Ryuichi Takanobu, Minlie Huang:
CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. EMNLP (1) 2021: 1839-1851 - [c111]Fei Mi, Wanhao Zhou, Lingjing Kong, Fengyu Cai, Minlie Huang, Boi Faltings:
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. EMNLP (1) 2021: 1887-1898 - [c110]Chen Henry Wu, Yinhe Zheng, Xiaoxi Mao, Minlie Huang:
Transferable Persona-Grounded Dialogues via Grounded Minimal Edits. EMNLP (1) 2021: 2368-2382 - [c109]Hao Zhou, Minlie Huang, Yong Liu, Wei Chen, Xiaoyan Zhu:
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning. EMNLP (1) 2021: 2383-2395 - [c108]Haozhe Ji, Minlie Huang:
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer. EMNLP (1) 2021: 4208-4224 - [c107]Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu:
Independence-aware Advantage Estimation. IJCAI 2021: 3349-3355 - [c106]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. KDD 2021: 3795-3805 - [c105]Ting Han, Ximing Liu, Ryuichi Takanobu, Yixin Lian, Chongxuan Huang, Dazhen Wan, Wei Peng, Minlie Huang:
MultiWOZ 2.3: A Multi-domain Task-Oriented Dialogue Dataset Enhanced with Annotation Corrections and Co-Reference Annotation. NLPCC (2) 2021: 206-218 - [c104]Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua:
MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. SIGIR 2021: 675-684 - [i100]Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang:
HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. CoRR abs/2105.06041 (2021) - [i99]Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang:
CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. CoRR abs/2105.08316 (2021) - [i98]Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang:
Stylized Story Generation with Style-Guided Planning. CoRR abs/2105.08625 (2021) - [i97]Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang:
OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. CoRR abs/2105.08920 (2021) - [i96]Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang:
Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. CoRR abs/2105.08963 (2021) - [i95]Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang:
Diversifying Dialog Generation via Adaptive Label Smoothing. CoRR abs/2105.14556 (2021) - [i94]Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang:
A Semantic-based Method for Unsupervised Commonsense Question Answering. CoRR abs/2105.14781 (2021) - [i93]Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang:
Towards Emotional Support Dialog Systems. CoRR abs/2106.01144 (2021) - [i92]Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang:
PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support. CoRR abs/2106.01702 (2021) - [i91]Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang:
NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer. CoRR abs/2106.02210 (2021) - [i90]Chen Henry Wu, Yinhe Zheng, Yida Wang, Zhenyu Yang, Minlie Huang:
Semantic-Enhanced Explainable Finetuning for Open-Domain Dialogues. CoRR abs/2106.03065 (2021) - [i89]Xu Han, Zhengyan Zhang, Ning Ding, Yuxian Gu, Xiao Liu, Yuqi Huo, Jiezhong Qiu, Liang Zhang, Wentao Han, Minlie Huang, Qin Jin, Yanyan Lan, Yang Liu, Zhiyuan Liu, Zhiwu Lu, Xipeng Qiu, Ruihua Song, Jie Tang, Ji-Rong Wen, Jinhui Yuan, Wayne Xin Zhao, Jun Zhu:
Pre-Trained Models: Past, Present and Future. CoRR abs/2106.07139 (2021) - [i88]Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang:
A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. CoRR abs/2106.07174 (2021) - [i87]Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang:
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. CoRR abs/2106.10502 (2021) - [i86]Zhengyan Zhang, Yuxian Gu, Xu Han, Shengqi Chen, Chaojun Xiao, Zhenbo Sun, Yuan Yao, Fanchao Qi, Jian Guan, Pei Ke, Yanzheng Cai, Guoyang Zeng, Zhixing Tan, Zhiyuan Liu, Minlie Huang, Wentao Han, Yang Liu, Xiaoyan Zhu, Maosong Sun:
CPM-2: Large-scale Cost-effective Pre-trained Language Models. CoRR abs/2106.10715 (2021) - [i85]Silin Gao, Ryuichi Takanobu, Minlie Huang:
End-to-End Task-Oriented Dialog Modeling with Semi-Structured Knowledge Management. CoRR abs/2106.11796 (2021) - [i84]Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang:
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. CoRR abs/2108.01547 (2021) - [i83]Fei Mi, Wanhao Zhou, Fengyu Cai, Lingjing Kong, Minlie Huang, Boi Faltings:
Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. CoRR abs/2108.12589 (2021) - [i82]Jian Guan, Zhuoer Feng, Yamei Chen, Ruilin He, Xiaoxi Mao, Changjie Fan, Minlie Huang:
LOT: A Benchmark for Evaluating Chinese Long Text Understanding and Generation. CoRR abs/2108.12960 (2021) - [i81]Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang:
PPT: Pre-trained Prompt Tuning for Few-shot Learning. CoRR abs/2109.04332 (2021) - [i80]Sahand Sabour, Chujie Zheng, Minlie Huang:
CEM: Commonsense-aware Empathetic Response Generation. CoRR abs/2109.05739 (2021) - [i79]Chujie Zheng, Minlie Huang:
Exploring Prompt-based Few-shot Learning for Grounded Dialog Generation. CoRR abs/2109.06513 (2021) - [i78]Chen Henry Wu, Yinhe Zheng, Xiaoxi Mao, Minlie Huang:
Transferable Persona-Grounded Dialogues via Grounded Minimal Edits. CoRR abs/2109.07713 (2021) - [i77]Haozhe Ji, Minlie Huang:
DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer. CoRR abs/2110.05999 (2021) - [i76]Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang:
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. CoRR abs/2110.08466 (2021) - [i75]Zhihong Shao, Minlie Huang:
Tackling Multi-Answer Open-Domain Questions via a Recall-then-Verify Framework. CoRR abs/2110.08544 (2021) - [i74]Rongsheng Zhang, Yinhe Zheng, Xiaoxi Mao, Minlie Huang:
Unsupervised Domain Adaptation with Adapter. CoRR abs/2111.00667 (2021) - [i73]Yuan Yao, Qingxiu Dong, Jian Guan, Boxi Cao, Zhengyan Zhang, Chaojun Xiao, Xiaozhi Wang, Fanchao Qi, Junwei Bao, Jinran Nie, Zheni Zeng, Yuxian Gu, Kun Zhou, Xuancheng Huang, Wenhao Li, Shuhuai Ren, Jinliang Lu, Chengqiang Xu, Huadong Wang, Guoyang Zeng, Zile Zhou, Jiajun Zhang, Juanzi Li, Minlie Huang, Rui Yan, Xiaodong He, Xiaojun Wan, Xin Zhao, Xu Sun, Yang Liu, Zhiyuan Liu, Xianpei Han, Erhong Yang, Zhifang Sui, Maosong Sun:
CUGE: A Chinese Language Understanding and Generation Evaluation Benchmark. CoRR abs/2112.13610 (2021) - 2020
- [j24]Xiaodong He, Li Deng, Richard Rose, Minlie Huang, Isabel Trancoso, Chao Zhang:
Introduction to the Special Issue on Deep Learning for Multi-Modal Intelligence Across Speech, Language, Vision, and Heterogeneous Signals. IEEE J. Sel. Top. Signal Process. 14(3): 474-477 (2020) - [j23]Jian Guan, Fei Huang, Minlie Huang, Zhihao Zhao, Xiaoyan Zhu:
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. Trans. Assoc. Comput. Linguistics 8: 93-108 (2020) - [j22]Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, Minlie Huang:
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset. Trans. Assoc. Comput. Linguistics 8: 281-295 (2020) - [j21]Yinhe Zheng, Guanyi Chen, Minlie Huang:
Out-of-Domain Detection for Natural Language Understanding in Dialog Systems. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1198-1209 (2020) - [j20]Mantong Zhou, Minlie Huang, Xiaoyan Zhu:
Robust Reading Comprehension With Linguistic Constraints via Posterior Regularization. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2500-2510 (2020) - [j19]Minlie Huang, Xiaoyan Zhu, Jianfeng Gao:
Challenges in Building Intelligent Open-domain Dialog Systems. ACM Trans. Inf. Syst. 38(3): 21:1-21:32 (2020) - [c103]Yinhe Zheng, Rongsheng Zhang, Minlie Huang, Xiaoxi Mao:
A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data. AAAI 2020: 9693-9700 - [c102]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. ACL (demo) 2020: 142-149 - [c101]Ryuichi Takanobu, Runze Liang, Minlie Huang:
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. ACL 2020: 625-638 - [c100]Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang:
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. ACL 2020: 3916-3927 - [c99]Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu:
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. ACL 2020: 7098-7108 - [c98]Rongsheng Zhang, Xiaoxi Mao, Le Li, Lin Jiang, Lin Chen, Zhiwei Hu, Yadong Xi, Changjie Fan, Minlie Huang:
Youling: an AI-assisted Lyrics Creation System. EMNLP (Demos) 2020: 85-91 - [c97]Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang:
Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. EMNLP (Findings) 2020: 115-125 - [c96]Zhouxing Shi, Minlie Huang:
Robustness to Modification with Shared Words in Paraphrase Identification. EMNLP (Findings) 2020: 164-171 - [c95]Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang:
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. EMNLP (1) 2020: 725-736 - [c94]Rongsheng Zhang, Yinhe Zheng, Jianzhi Shao, Xiaoxi Mao, Yadong Xi, Minlie Huang:
Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data. EMNLP (1) 2020: 3449-3460 - [c93]Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings:
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. EMNLP (Findings) 2020: 3461-3474 - [c92]Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang:
SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. EMNLP (1) 2020: 6975-6988 - [c91]Jian Guan, Minlie Huang:
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation. EMNLP (1) 2020: 9157-9166 - [c90]Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. ICLR 2020 - [c89]Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. AACL/IJCNLP 2020: 122-132 - [c88]Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang:
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. AACL/IJCNLP 2020: 248-257 - [c87]Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Minlie Huang, Zhiyuan Liu:
ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. AACL/IJCNLP 2020: 770-780 - [c86]Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang:
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars. NeurIPS 2020 - [c85]Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond. NeurIPS 2020 - [c84]Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang:
A Large-Scale Chinese Short-Text Conversation Dataset. NLPCC (1) 2020: 91-103 - [c83]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. SIGdial 2020: 297-310 - [i72]Jian Guan, Fei Huang, Zhihao Zhao, Xiaoyan Zhu, Minlie Huang:
A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation. CoRR abs/2001.05139 (2020) - [i71]Fei Huang, Dazhen Wan, Zhihong Shao, Pei Ke, Jian Guan, Yilin Niu, Xiaoyan Zhu, Minlie Huang:
CoTK: An Open-Source Toolkit for Fast Development and Fair Evaluation of Text Generation. CoRR abs/2002.00583 (2020) - [i70]Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang:
ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. CoRR abs/2002.04793 (2020) - [i69]Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh:
Robustness Verification for Transformers. CoRR abs/2002.06622 (2020) - [i68]Qi Zhu, Kaili Huang, Zheng Zhang, Xiaoyan Zhu, Minlie Huang:
CrossWOZ: A Large-Scale Chinese Cross-Domain Task-Oriented Dialogue Dataset. CoRR abs/2002.11893 (2020) - [i67]Kaidi Xu, Zhouxing Shi, Huan Zhang, Minlie Huang, Kai-Wei Chang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh:
Automatic Perturbation Analysis on General Computational Graphs. CoRR abs/2002.12920 (2020) - [i66]Zheng Zhang, Ryuichi Takanobu, Minlie Huang, Xiaoyan Zhu:
Recent Advances and Challenges in Task-oriented Dialog System. CoRR abs/2003.07490 (2020) - [i65]Ryuichi Takanobu, Runze Liang, Minlie Huang:
Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. CoRR abs/2004.03809 (2020) - [i64]Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu:
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. CoRR abs/2004.04100 (2020) - [i63]Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang:
Learning Goal-oriented Dialogue Policy with Opposite Agent Awareness. CoRR abs/2004.09731 (2020) - [i62]Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang:
A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. CoRR abs/2005.05189 (2020) - [i61]Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang:
Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. CoRR abs/2005.07362 (2020) - [i60]Mantong Zhou, Zhouxing Shi, Minlie Huang, Xiaoyan Zhu:
Knowledge-Aided Open-Domain Question Answering. CoRR abs/2006.05244 (2020) - [i59]Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou:
Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph. CoRR abs/2007.14573 (2020) - [i58]Yida Wang, Pei Ke, Yinhe Zheng, Kaili Huang, Yong Jiang, Xiaoyan Zhu, Minlie Huang:
A Large-Scale Chinese Short-Text Conversation Dataset. CoRR abs/2008.03946 (2020) - [i57]Jian Guan, Minlie Huang:
UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation. CoRR abs/2009.07602 (2020) - [i56]Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang:
Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. CoRR abs/2009.09378 (2020) - [i55]Rongsheng Zhang, Yinhe Zheng, Jianzhi Shao, Xiaoxi Mao, Yadong Xi, Minlie Huang:
Dialogue Distillation: Open-domain Dialogue Augmentation Using Unpaired Data. CoRR abs/2009.09427 (2020) - [i54]Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang:
Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. CoRR abs/2009.11692 (2020) - [i53]Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang:
Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. CoRR abs/2009.11753 (2020) - [i52]Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang:
Stylized Dialogue Response Generation Using Stylized Unpaired Texts. CoRR abs/2009.12719 (2020) - [i51]Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings:
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. CoRR abs/2010.00910 (2020) - [i50]Ting Han, Ximing Liu, Ryuichi Takanobu, Yixin Lian, Chongxuan Huang, Wei Peng, Minlie Huang:
MultiWOZ 2.3: A multi-domain task-oriented dataset enhanced with annotation corrections and co-reference annotation. CoRR abs/2010.05594 (2020) - [i49]Wenchang Ma, Ryuichi Takanobu, Minghao Tu, Minlie Huang:
Bridging the Gap between Conversational Reasoning and Interactive Recommendation. CoRR abs/2010.10333 (2020) - [i48]R. Chulaka Gunasekara, Seokhwan Kim, Luis Fernando D'Haro, Abhinav Rastogi, Yun-Nung Chen, Mihail Eric, Behnam Hedayatnia, Karthik Gopalakrishnan, Yang Liu, Chao-Wei Huang, Dilek Hakkani-Tür, Jinchao Li, Qi Zhu, Lingxiao Luo, Lars Liden, Kaili Huang, Shahin Shayandeh, Runze Liang, Baolin Peng, Zheng Zhang, Swadheen Shukla, Minlie Huang, Jianfeng Gao, Shikib Mehri, Yulan Feng, Carla Gordon, Seyed Hossein Alavi, David R. Traum, Maxine Eskénazi, Ahmad Beirami, Eunjoon Cho, Paul A. Crook, Ankita De, Alborz Geramifard, Satwik Kottur, Seungwhan Moon, Shivani Poddar, Rajen Subba:
Overview of the Ninth Dialog System Technology Challenge: DSTC9. CoRR abs/2011.06486 (2020) - [i47]Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang:
Reinforced Molecular Optimization with Neighborhood-Controlled Grammars. CoRR abs/2011.07225 (2020) - [i46]Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A Large-scale Generative Chinese Pre-trained Language Model. CoRR abs/2012.00413 (2020) - [i45]Zhihong Shao, Zitao Liu, Jiyong Zhang, Zhongqin Wu, Minlie Huang:
AdvExpander: Generating Natural Language Adversarial Examples by Expanding Text. CoRR abs/2012.10235 (2020) - [i44]Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou:
ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. CoRR abs/2012.15022 (2020) - [i43]Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Weiran Nie, Hongyan Li, Cheng Li, Wei Peng, Minlie Huang:
Robustness Testing of Language Understanding in Dialog Systems. CoRR abs/2012.15262 (2020)
2010 – 2019
- 2019
- [j18]Mantong Zhou, Minlie Huang, Xiaoyan Zhu:
Story Ending Selection by Finding Hints From Pairwise Candidate Endings. IEEE ACM Trans. Audio Speech Lang. Process. 27(4): 719-729 (2019) - [j17]Zheng Zhang, Minlie Huang, Zhongzhou Zhao, Feng Ji, Haiqing Chen, Xiaoyan Zhu:
Memory-Augmented Dialogue Management for Task-Oriented Dialogue Systems. ACM Trans. Inf. Syst. 37(3): 34:1-34:30 (2019) - [c82]Jian Guan, Yansen Wang, Minlie Huang:
Story Ending Generation with Incremental Encoding and Commonsense Knowledge. AAAI 2019: 6473-6480 - [c81]Zhouxing Shi, Minlie Huang:
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. AAAI 2019: 7007-7014 - [c80]Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang:
A Hierarchical Framework for Relation Extraction with Reinforcement Learning. AAAI 2019: 7072-7079 - [c79]Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. ACL (3) 2019: 64-69 - [c78]Chujie Zheng, Minlie Huang, Aixin Sun:
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. ACL (1) 2019: 778-787 - [c77]Ryuichi Takanobu, Hanlin Zhu, Minlie Huang:
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. EMNLP/IJCNLP (1) 2019: 100-110 - [c76]Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu:
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. EMNLP/IJCNLP (1) 2019: 3255-3266 - [c75]Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu:
ARAML: A Stable Adversarial Training Framework for Text Generation. EMNLP/IJCNLP (1) 2019: 4270-4280 - [c74]Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings:
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. IJCAI 2019: 3151-3157 - [c73]Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie:
User Attention-guided Multimodal Dialog Systems. SIGIR 2019: 445-454 - [c72]Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng:
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. WWW 2019: 1771-1781 - [c71]Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu:
Aspect-level Sentiment Analysis using AS-Capsules. WWW 2019: 2033-2044 - [c70]Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua:
Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems. WWW 2019: 2401-2412 - [c69]Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu:
Domain-Constrained Advertising Keyword Generation. WWW 2019: 2448-2459 - [i42]Yinhe Zheng, Guanyi Chen, Minlie Huang, Song Liu, Xuan Zhu:
Personalized Dialogue Generation with Diversified Traits. CoRR abs/1901.09672 (2019) - [i41]Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng:
Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. CoRR abs/1902.08882 (2019) - [i40]Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu:
Domain-Constrained Advertising Keyword Generation. CoRR abs/1902.10374 (2019) - [i39]Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Xiang Li, Yaoqin Zhang, Zheng Zhang, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao:
ConvLab: Multi-Domain End-to-End Dialog System Platform. CoRR abs/1904.08637 (2019) - [i38]Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings:
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. CoRR abs/1905.05644 (2019) - [i37]Minlie Huang, Xiaoyan Zhu, Jianfeng Gao:
Challenges in Building Intelligent Open-domain Dialog Systems. CoRR abs/1905.05709 (2019) - [i36]Chujie Zheng, Minlie Huang, Aixin Sun:
ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. CoRR abs/1906.01265 (2019) - [i35]Lizi Liao, Ryuichi Takanobu, Yunshan Ma, Xun Yang, Minlie Huang, Tat-Seng Chua:
Deep Conversational Recommender in Travel. CoRR abs/1907.00710 (2019) - [i34]Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu:
Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. CoRR abs/1908.06605 (2019) - [i33]Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu:
ARAML: A Stable Adversarial Training Framework for Text Generation. CoRR abs/1908.07195 (2019) - [i32]Ryuichi Takanobu, Hanlin Zhu, Minlie Huang:
Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. CoRR abs/1908.10719 (2019) - [i31]Zhouxing Shi, Minlie Huang:
Robustness to Modification with Shared Words in Paraphrase Identification. CoRR abs/1909.02560 (2019) - [i30]Yinhe Zheng, Guanyi Chen, Minlie Huang:
Out-of-domain Detection for Natural Language Understanding in Dialog Systems. CoRR abs/1909.03862 (2019) - [i29]Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang:
SentiLR: Linguistic Knowledge Enhanced Language Representation for Sentiment Analysis. CoRR abs/1911.02493 (2019) - [i28]Yinhe Zheng, Rongsheng Zhang, Xiaoxi Mao, Minlie Huang:
A Pre-training Based Personalized Dialogue Generation Model with Persona-sparse Data. CoRR abs/1911.04700 (2019) - [i27]Seokhwan Kim, Michel Galley, R. Chulaka Gunasekara, Sungjin Lee, Adam Atkinson, Baolin Peng, Hannes Schulz, Jianfeng Gao, Jinchao Li, Mahmoud Adada, Minlie Huang, Luis A. Lastras, Jonathan K. Kummerfeld, Walter S. Lasecki, Chiori Hori, Anoop Cherian, Tim K. Marks, Abhinav Rastogi, Xiaoxue Zang, Srinivas Sunkara, Raghav Gupta:
The Eighth Dialog System Technology Challenge. CoRR abs/1911.06394 (2019) - [i26]Mantong Zhou, Minlie Huang, Xiaoyan Zhu:
Robust Reading Comprehension with Linguistic Constraints via Posterior Regularization. CoRR abs/1911.06948 (2019) - 2018
- [c68]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018: 730-739 - [c67]Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang:
Augmenting End-to-End Dialogue Systems With Commonsense Knowledge. AAAI 2018: 4970-4977 - [c66]Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu:
Reinforcement Learning for Relation Classification From Noisy Data. AAAI 2018: 5779-5786 - [c65]Tianyang Zhang, Minlie Huang, Li Zhao:
Learning Structured Representation for Text Classification via Reinforcement Learning. AAAI 2018: 6053-6060 - [c64]Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu:
Generating Informative Responses with Controlled Sentence Function. ACL (1) 2018: 1499-1508 - [c63]Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. ACL (1) 2018: 2193-2203 - [c62]Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu:
An Operation Network for Abstractive Sentence Compression. COLING 2018: 1065-1076 - [c61]Mantong Zhou, Minlie Huang, Xiaoyan Zhu:
An Interpretable Reasoning Network for Multi-Relation Question Answering. COLING 2018: 2010-2022 - [c60]Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu:
Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation. IJCAI 2018: 4279-4285 - [c59]Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie:
A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-oriented Dialogues via Reinforcement Learning. IJCAI 2018: 4403-4410 - [c58]Shiyao Wang, Minlie Huang, Zhidong Deng:
Densely Connected CNN with Multi-scale Feature Attention for Text Classification. IJCAI 2018: 4468-4474 - [c57]Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu:
Commonsense Knowledge Aware Conversation Generation with Graph Attention. IJCAI 2018: 4623-4629 - [c56]Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie:
Chat More: Deepening and Widening the Chatting Topic via A Deep Model. SIGIR 2018: 255-264 - [c55]Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu:
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. WWW 2018: 1939-1948 - [i25]Zheng Zhang, Minlie Huang, Zhongzhou Zhao, Feng Ji, Haiqing Chen, Xiaoyan Zhu:
Memory-augmented Dialogue Management for Task-oriented Dialogue Systems. CoRR abs/1805.00150 (2018) - [i24]Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie:
Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. CoRR abs/1805.04843 (2018) - [i23]Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu:
Reinforcement Learning for Relation Classification from Noisy Data. CoRR abs/1808.08013 (2018) - [i22]Jian Guan, Yansen Wang, Minlie Huang:
Story Ending Generation with Incremental Encoding and Commonsense Knowledge. CoRR abs/1808.10113 (2018) - [i21]Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu:
Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. CoRR abs/1809.06260 (2018) - [i20]Yilin Niu, Chao Qiao, Hang Li, Minlie Huang:
Word Embedding based Edit Distance. CoRR abs/1810.10752 (2018) - [i19]Jun Feng, Minlie Huang, Yijie Zhang, Yang Yang, Xiaoyan Zhu:
Relation Mention Extraction from Noisy Data with Hierarchical Reinforcement Learning. CoRR abs/1811.01237 (2018) - [i18]Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang:
A Hierarchical Framework for Relation Extraction with Reinforcement Learning. CoRR abs/1811.03925 (2018) - [i17]Zhouxing Shi, Minlie Huang:
A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. CoRR abs/1812.00176 (2018) - 2017
- [j16]Minlie Huang, Qiao Qian, Xiaoyan Zhu:
Encoding Syntactic Knowledge in Neural Networks for Sentiment Classification. ACM Trans. Inf. Syst. 35(3): 26:1-26:27 (2017) - [c54]Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu:
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. AAAI 2017: 3104-3110 - [c53]Qiao Qian, Minlie Huang, Jinhao Lei, Xiaoyan Zhu:
Linguistically Regularized LSTM for Sentiment Classification. ACL (1) 2017: 1679-1689 - [c52]Daoyi Li, Minlie Huang, Yongfeng Zhang, Xiaoyan Zhu:
Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System. ICTAI 2017: 807-814 - [c51]Lian Meng, Minlie Huang:
Dialogue Intent Classification with Long Short-Term Memory Networks. NLPCC 2017: 42-50 - [c50]Minlie Huang, Zuoxian Ye, Hao Zhou:
Overview of the NLPCC 2017 Shared Task: Emotion Generation Challenge. NLPCC 2017: 926-936 - [c49]Haizhou Zhao, Yi Du, Hang Li, Qiao Qian, Hao Zhou, Minlie Huang, Jingfang Xu:
SG01 at the NTCIR-13 STC-2 Task. NTCIR 2017 - [i16]Han Xiao, Minlie Huang, Xiaoyan Zhu:
SAR: A Semantic Analysis Approach for Recommendation. CoRR abs/1702.06247 (2017) - [i15]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. CoRR abs/1704.01074 (2017) - [i14]Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu:
Assigning personality/identity to a chatting machine for coherent conversation generation. CoRR abs/1706.02861 (2017) - 2016
- [c48]Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu:
Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint. AAAI 2016: 2877-2884 - [c47]Han Xiao, Minlie Huang, Xiaoyan Zhu:
TransG : A Generative Model for Knowledge Graph Embedding. ACL (1) 2016 - [c46]Biao Liu, Minlie Huang:
A Sentence Interaction Network for Modeling Dependence between Sentences. ACL (1) 2016 - [c45]Shouzhong Tu, Minlie Huang:
Scalable Functional Dependencies Discovery from Big Data. BigMM 2016: 426-431 - [c44]Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu:
GAKE: Graph Aware Knowledge Embedding. COLING 2016: 641-651 - [c43]Naitong Yu, Minlie Huang, Yuanyuan Shi, Xiaoyan Zhu:
Product Review Summarization by Exploiting Phrase Properties. COLING 2016: 1113-1124 - [c42]Hao Zhou, Minlie Huang, Xiaoyan Zhu:
Context-aware Natural Language Generation for Spoken Dialogue Systems. COLING 2016: 2032-2041 - [c41]Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao:
Attention-based LSTM for Aspect-level Sentiment Classification. EMNLP 2016: 606-615 - [c40]Han Xiao, Minlie Huang, Xiaoyan Zhu:
From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction. IJCAI 2016: 1315-1321 - [c39]Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, Xiaoyan Zhu:
Knowledge Graph Embedding by Flexible Translation. KR 2016: 557-560 - [i13]Han Xiao, Minlie Huang, Xiaoyan Zhu:
SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. CoRR abs/1604.04835 (2016) - [i12]Minlie Huang, Yujie Cao, Chao Dong:
Modeling Rich Contexts for Sentiment Classification with LSTM. CoRR abs/1605.01478 (2016) - [i11]Han Xiao, Minlie Huang, Xiaoyan Zhu:
Knowledge Semantic Representation: A Generative Model for Interpretable Knowledge Graph Embedding. CoRR abs/1608.07685 (2016) - [i10]Qiao Qian, Minlie Huang, Xiaoyan Zhu:
Linguistically Regularized LSTMs for Sentiment Classification. CoRR abs/1611.03949 (2016) - 2015
- [j15]Lei Fang, Biao Liu, Minlie Huang:
Leveraging Large Data with Weak Supervision for Joint Feature and Opinion Word Extraction. J. Comput. Sci. Technol. 30(4): 903-916 (2015) - [c38]Qiao Qian, Bo Tian, Minlie Huang, Yang Liu, Xuan Zhu, Xiaoyan Zhu:
Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network. ACL (1) 2015: 1365-1374 - [c37]Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu:
Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. CIKM 2015: 343-352 - [c36]Biao Liu, Minlie Huang, Jiashen Sun, Xuan Zhu:
Incorporating Domain and Sentiment Supervision in Representation Learning for Domain Adaptation. IJCAI 2015: 1277-1283 - [c35]Yujie Cao, Minlie Huang, Xiaoyan Zhu:
Clustering Sentiment Phrases in Product Reviews by Constrained Co-clustering. NLPCC 2015: 79-89 - [i9]Biao Liu, Minlie Huang:
Robustly Leveraging Prior Knowledge in Text Classification. CoRR abs/1503.00841 (2015) - [i8]Han Xiao, Minlie Huang, Yu Hao, Xiaoyan Zhu:
TransG : A Generative Mixture Model for Knowledge Graph Embedding. CoRR abs/1509.05488 (2015) - [i7]Han Xiao, Minlie Huang, Yu Hao, Xiaoyan Zhu:
TransA: An Adaptive Approach for Knowledge Graph Embedding. CoRR abs/1509.05490 (2015) - [i6]Han Xiao, Minlie Huang, Yu Hao, Xiaoyan Zhu:
From One Point to A Manifold: Orbit Models for Knowledge Graph Embedding. CoRR abs/1512.04792 (2015) - 2014
- [j14]Po Hu, Minlie Huang, Xiaoyan Zhu:
Exploring the Interactions of Storylines from Informative News Events. J. Comput. Sci. Technol. 29(3): 502-518 (2014) - [j13]Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma:
Estimating feature ratings through an effective review selection approach. Knowl. Inf. Syst. 38(2): 419-446 (2014) - [c34]Minlie Huang, Borui Ye, Yichen Wang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu:
New Word Detection for Sentiment Analysis. ACL (1) 2014: 531-541 - [c33]Lei Fang, Qiao Qian, Minlie Huang, Xiaoyan Zhu:
Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition. CIKM 2014: 1931-1934 - [c32]Li Zhao, Minlie Huang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu:
Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency. EMNLP 2014: 1614-1623 - 2013
- [c31]Lei Fang, Minlie Huang, Xiaoyan Zhu:
Exploring weakly supervised latent sentiment explanations for aspect-level review analysis. CIKM 2013: 1057-1066 - 2012
- [j12]Hongtao Zhang, Minlie Huang, Xiaoyan Zhu:
A Unified Active Learning Framework for Biomedical Relation Extraction. J. Comput. Sci. Technol. 27(6): 1302-1313 (2012) - [c30]Minlie Huang, Xing Shi, Feng Jin, Xiaoyan Zhu:
Using First-Order Logic to Compress Sentences. AAAI 2012: 1657-1663 - [c29]Lei Fang, Minlie Huang:
Fine Granular Aspect Analysis using Latent Structural Models. ACL (2) 2012: 333-337 - [c28]Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu:
Finding nuggets in IP portfolios: core patent mining through textual temporal analysis. CIKM 2012: 1819-1823 - [c27]Hongwei Jin, Minlie Huang, Xiaoyan Zhu:
Sentiment Analysis with Multi-source Product Reviews. ICIC (1) 2012: 301-308 - [c26]Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao, Xinyu Yan, Bo Gao, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi:
PatentMiner: topic-driven patent analysis and mining. KDD 2012: 1366-1374 - 2011
- [j11]Minlie Huang, Jingchen Liu, Xiaoyan Zhu:
GeneTUKit: a software for document-level gene normalization. Bioinform. 27(7): 1032-1033 (2011) - [j10]Zhiyong Lu, Hung-Yu Kao, Chih-Hsuan Wei, Minlie Huang, Jingchen Liu, Cheng-Ju Kuo, Chun-Nan Hsu, Richard Tzong-Han Tsai, Hong-Jie Dai, Naoaki Okazaki, Han-Cheol Cho, Martin Gerner, Illés Solt, Shashank Agarwal, Feifan Liu, Dina Vishnyakova, Patrick Ruch, Martin Romacker, Fabio Rinaldi, Sanmitra Bhattacharya, Padmini Srinivasan, Hongfang Liu, Manabu Torii, Sérgio Matos, David Campos, Karin Verspoor, Kevin M. Livingston, W. John Wilbur:
The gene normalization task in BioCreative III. BMC Bioinform. 12(S-8): S2 (2011) - [j9]Minlie Huang, Aurélie Névéol, Zhiyong Lu:
Recommending MeSH terms for annotating biomedical articles. J. Am. Medical Informatics Assoc. 18(5): 660-667 (2011) - [j8]Feng Jin, Minlie Huang, Xiaoyan Zhu:
Guided Structure-Aware Review Summarization. J. Comput. Sci. Technol. 26(4): 676-684 (2011) - [c25]Hongtao Zhang, Minlie Huang, Xiaoyan Zhu:
Protein-protein interaction extraction from bio-literature with compact features and data sampling strategy. BMEI 2011: 1767-1771 - [c24]Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu:
Generating Breakpoint-based Timeline Overview for News Topic Retrospection. ICDM 2011: 260-269 - [c23]Fangtao Li, Minlie Huang, Yi Yang, Xiaoyan Zhu:
Learning to Identify Review Spam. IJCAI 2011: 2488-2493 - [c22]Minlie Huang, Yi Yang, Xiaoyan Zhu:
Quality-biased Ranking of Short Texts in Microblogging Services. IJCNLP 2011: 373-382 - 2010
- [j7]Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li:
A New Approach for Multi-Document Update Summarization. J. Comput. Sci. Technol. 25(4): 739-749 (2010) - [c21]Fangtao Li, Minlie Huang, Xiaoyan Zhu:
Sentiment Analysis with Global Topics and Local Dependency. AAAI 2010: 1371-1376 - [c20]Mattia Tomasoni, Minlie Huang:
Metadata-Aware Measures for Answer Summarization in Community Question Answering. ACL 2010: 760-769 - [c19]Jingchen Liu, Minlie Huang, Xiaoyan Zhu:
Recognizing Biomedical Named Entities Using Skip-Chain Conditional Random Fields. BioNLP@ACL 2010: 10-18 - [c18]Minlie Huang, Zhiyong Lu:
Learning to Annotate Scientific Publications. COLING (Posters) 2010: 463-471 - [c17]Feng Jin, Minlie Huang, Xiaoyan Zhu:
A Comparative Study on Ranking and Selection Strategies for Multi-Document Summarization. COLING (Posters) 2010: 525-533 - [c16]Fangtao Li, Chao Han, Minlie Huang, Xiaoyan Zhu, Yingju Xia, Shu Zhang, Hao Yu:
Structure-Aware Review Mining and Summarization. COLING 2010: 653-661 - [c15]Zhicheng Zheng, Fangtao Li, Minlie Huang, Xiaoyan Zhu:
Learning to Link Entities with Knowledge Base. HLT-NAACL 2010: 483-491 - [i5]Feng Jin, Minlie Huang, Xiaoyan Zhu:
The THU Summarization Systems at TAC 2010. TAC 2010
2000 – 2009
- 2009
- [j6]Hongning Wang, Minlie Huang, Xiaoyan Zhu:
Extract interaction detection methods from the biological literature. BMC Bioinform. 10(S-1) (2009) - [j5]Jianshu Sun, Chong Long, Xiaoyan Zhu, Minlie Huang:
Mining Reviews for Product Comparison and Recommendation. Polibits 39: 33-40 (2009) - [c14]Feng Jin, Minlie Huang, Xiaoyan Zhu:
A query-specific opinion summarization system. IEEE ICCI 2009: 428-433 - [c13]Fangtao Li, Yang Tang, Minlie Huang, Xiaoyan Zhu:
Answering Opinion Questions with Random Walks on Graphs. ACL/IJCNLP 2009: 737-745 - [c12]Feng Jin, Minlie Huang, Zhiyong Lu, Xiaoyan Zhu:
Towards Automatic Generation of Gene Summary. BioNLP@HLT-NAACL 2009: 97-105 - [c11]Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li:
Multi-document Summarization by Information Distance. ICDM 2009: 866-871 - [c10]Chong Long, Jie Zhang, Minlie Huang, Xiaoyan Zhu, Ming Li, Bin Ma:
Specialized Review Selection for Feature Rating Estimation. Web Intelligence 2009: 214-221 - [c9]Shouyuan Chen, Minlie Huang, Zhiyong Lu:
Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph. Web Intelligence 2009: 269-272 - [i4]Fangtao Li, Zhicheng Zheng, Fan Bu, Yang Tang, Xiaoyan Zhu, Minlie Huang:
THU QUANTA at TAC 2009 KBP and RTE Track. TAC 2009 - [i3]Chong Long, Minlie Huang, Xiaoyan Zhu:
Tsinghua University at TAC 2009: Summarizing Multi-documents by Information Distance. TAC 2009 - 2008
- [j4]Hongning Wang, Minlie Huang, Shilin Ding, Xiaoyan Zhu:
Exploiting and integrating rich features for biological literature classification. BMC Bioinform. 9(S-3) (2008) - [c8]Hongning Wang, Minlie Huang, Xiaoyan Zhu:
A Generative Probabilistic Model for Multi-label Classification. ICDM 2008: 628-637 - [i2]Shouyuan Chen, Yuanming Yu, Chong Long, Feng Jin, Lijing Qin, Minlie Huang, Xiaoyan Zhu:
Tsinghua University at the Summarization Track of TAC 2008. TAC 2008 - [i1]Fangtao Li, Zhicheng Zheng, Yang Tang, Fan Bu, Rong Ge, Xiaoyan Zhu, Xian Zhang, Minlie Huang:
THU QUANTA at TAC 2008 QA and RTE Track. TAC 2008 - 2007
- [c7]Shilin Ding, Minlie Huang, Xiaoyan Zhu:
Semi-supervised Pattern Learning for Extracting Relations from Bioscience Texts. APBC 2007: 307-316 - [c6]Hao Yu, Minlie Huang, Xiaoyan Zhu, Yabin Guo:
A Novel Kernel-Based Approach for Predicting Binding Peptides for HLA Class II Molecules. ISBRA 2007: 418-429 - [c5]Minlie Huang, Xiaoyan Zhu:
Combining Convolution Kernels Defined on Heterogeneous Sub-structures. PAKDD 2007: 539-546 - 2006
- [j3]Minlie Huang, Xiaoyan Zhu, Ming Li:
A hybrid method for relation extraction from biomedical literature. Int. J. Medical Informatics 75(6): 443-455 (2006) - [c4]Minlie Huang, Xiaoyan Zhu, Shilin Ding, Hao Yu, Ming Li:
ONBRIRES: Ontology-Based Biological Relation Extraction System. APBC 2006: 327-336 - [c3]Jiao Li, Minlie Huang, Xiaoyan Zhu:
An Ontology-Based Mining System for Competitive Intelligence in Neuroscience. WImBI 2006: 291-304 - 2005
- [j2]Hao Yu, Xiaoyan Zhu, Minlie Huang, Ming Li:
Discovering patterns to extract protein-protein interactions from the literature: Part II. Bioinform. 21(15): 3294-3300 (2005) - [c2]Jiao Li, Xian Zhang, Yu Hao, Minlie Huang, Xiaoyan Zhu:
Learning Domain-Specific Knowledge from Context--THUIR at TREC 2005 Genomics Track. TREC 2005 - 2004
- [j1]Minlie Huang, Xiaoyan Zhu, Hao Yu, Donald G. Payan, Kunbin Qu, Ming Li:
Discovering patterns to extract protein-protein interactions from full texts. Bioinform. 20(18): 3604-3612 (2004) - [c1]Minlie Huang, Xiaoyan Zhu, Donald G. Payan, Kunbin Qu, Ming Li:
Discovering Patterns to Extract Protein-Protein Interactions from Full Biomedical Texts. NLPBA/BioNLP 2004
Coauthor Index
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