Minlie Huang

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 367

Top Venues

Publications

Yuxian Gu, Li Dong, Yaru Hao, Qingxiu Dong, Minlie Huang, Furu Wei
Towards Optimal Learning of Language Models. CoRR (2024)
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)
Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang
Learning Task Decomposition to Assist Humans in Competitive Programming. ACL (1) (2024)
Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
Language Models Hallucinate, but May Excel at Fact Verification. NAACL-HLT (2024)
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 (2024)
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)
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 (2024)
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 (2024)
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)
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Language Model Decoding as Direct Metrics Optimization. ICLR (2024)
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)
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 (2024)
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 (2024)
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)
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)
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)
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 (2024)
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 (2024)
Jie Zhou, Pei Ke, Xipeng Qiu, Minlie Huang, Junping Zhang
ChatGPT: potential, prospects, and limitations. Frontiers Inf. Technol. Electron. Eng. 25 (1) (2024)
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 (2024)
Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
MiniLLM: Knowledge Distillation of Large Language Models. ICLR (2024)
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)
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)
Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang
Learning Task Decomposition to Assist Humans in Competitive Programming. CoRR (2024)
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 (2024)
Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei
Instruction Pre-Training: Language Models are Supervised Multitask Learners. CoRR (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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 (2024)
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)
Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng
Weak-to-Strong Extrapolation Expedites Alignment. CoRR (2024)
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 (2024)
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 (2024)
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR (2024)
Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Minlie Huang
COKE: A Cognitive Knowledge Graph for Machine Theory of Mind. CoRR (2023)
Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
Pre-Training to Learn in Context. ACL (1) (2023)
Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea
Enhancing Long-form Text Generation Efficacy with Task-adaptive Tokenization. CoRR (2023)
Chujie Zheng, Sahand Sabour, Jiaxin Wen, Zheng Zhang, Minlie Huang
AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation. ACL (Findings) (2023)
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 (2023)
Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
Pre-Training to Learn in Context. CoRR (2023)
Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang
Unveiling the Implicit Toxicity in Large Language Models. EMNLP (2023)
Zhexin Zhang, Jiaxin Wen, Minlie Huang
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. CoRR (2023)
Mengting Hu, Zhen Zhang, Shiwan Zhao, Minlie Huang, Bingzhe Wu
Uncertainty in Natural Language Processing: Sources, Quantification, and Applications. CoRR (2023)
Qi Zhu, Zheng Zhang, Xiaoyan Zhu, Minlie Huang
Building Multi-domain Dialog State Trackers from Single-domain Dialogs. EMNLP (2023)
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 (2023)
Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang
Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach. CoRR (2023)
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 (2023)
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)
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)
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 (2023)
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 (2023)
Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. CoRR (2023)
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)
Jiawen Deng, Hao Sun, Zhexin Zhang, Jiale Cheng, Minlie Huang
Recent Advances towards Safe, Responsible, and Moral Dialogue Systems: A Survey. CoRR (2023)
Zhexin Zhang, Jiaxin Wen, Minlie Huang
ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. ACL (1) (2023)
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)
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)
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)
Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang
Tailoring Language Generation Models under Total Variation Distance. ICLR (2023)
Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang
Multi-Source Probing for Open-Domain Conversational Understanding. EMNLP (2023)
Fei Huang, Pei Ke, Minlie Huang
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. CoRR (2023)
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 (2023)
Jiaxin Wen, Hao Zhou, Minlie Huang
Dial: Retrieve, Reorganize and Rescale Dialogue Corpus for Long-Turn Open-Domain Dialogue Pre-training. CoRR (2023)
Jian Guan, Minlie Huang
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. CoRR (2023)
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)
Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang
Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. ACL (Findings) (2023)
Yuxian Gu, Li Dong, Furu Wei, Minlie Huang
Knowledge Distillation of Large Language Models. CoRR (2023)
Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu
StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. ACL (1) (2023)
Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang
DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. CoRR (2023)
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)
Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng
Language Models Hallucinate, but May Excel at Fact Verification. CoRR (2023)
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) (2023)
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)
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)
Jian Guan, Minlie Huang
Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. ACL (Findings) (2023)
Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang
Large Language Models Are Not Robust Multiple Choice Selectors. CoRR (2023)
Zhexin Zhang, Jian Guan, Xin Cui, Yu Ran, Bo Liu, Minlie Huang
Self-Supervised Sentence Polishing by Adding Engaging Modifiers. ACL (demo) (2023)
Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang
Tailoring Language Generation Models under Total Variation Distance. CoRR (2023)
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 (2023)
Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang
Language Model Decoding as Direct Metrics Optimization. CoRR (2023)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. CoRR (2023)
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 (2023)
Jiale Cheng, Sahand Sabour, Hao Sun, Zhuang Chen, Minlie Huang
PAL: Persona-Augmented Emotional Support Conversation Generation. ACL (Findings) (2023)
Fei Huang, Pei Ke, Minlie Huang
Directed Acyclic Transformer Pre-training for High-quality Non-autoregressive Text Generation. Trans. Assoc. Comput. Linguistics 11 (2023)
Yang Deng, Wenqiang Lei, Minlie Huang, Tat-Seng Chua
Goal Awareness for Conversational AI: Proactivity, Non-collaborativity, and Beyond. ACL (tutorial) (2023)
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)
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 (2023)
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 (2023)
Zhexin Zhang, Junxiao Yang, Pei Ke, Minlie Huang
Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. CoRR (2023)
Hao Sun, Zhexin Zhang, Jiawen Deng, Jiale Cheng, Minlie Huang
Safety Assessment of Chinese Large Language Models. CoRR (2023)
Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang
Unveiling the Implicit Toxicity in Large Language Models. CoRR (2023)
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)
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)
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 (2023)
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)
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)
Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen
Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. CoRR (2023)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minlie Huang