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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) - [c201]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 - [c200]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 - [c199]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 - [c198]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 - [c197]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 - [c196]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 - [c195]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 - [c194]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 - [c193]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 - [c192]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 - [c191]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 - [c190]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 - [c189]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 - [c188]Yuxian Gu, Li Dong, Furu Wei, Minlie Huang:
MiniLLM: Knowledge Distillation of Large Language Models. ICLR 2024 - [c187]Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang:
Language Model Decoding as Direct Metrics Optimization. ICLR 2024 - [c186]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR 2024 - [c185]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 - [c184]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 - [c183]Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng:
Language Models Hallucinate, but May Excel at Fact Verification. NAACL-HLT 2024: 1090-1111 - [c182]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 - [i187]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) - [i186]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) - [i185]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) - [i184]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) - [i183]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) - [i182]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) - [i181]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) - [i180]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) - [i179]Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei:
Towards Optimal Learning of Language Models. CoRR abs/2402.17759 (2024) - [i178]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) - [i177]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) - [i176]Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng:
Weak-to-Strong Extrapolation Expedites Alignment. CoRR abs/2404.16792 (2024) - [i175]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) - [i174]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) - [i173]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) - [i172]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) - [i171]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) - [i170]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) - [i169]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) - [i168]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) - [i167]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) - [i166]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) - 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:
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