Huang, Minlie

56 publications

AAAI 2025 CharacterBench: Benchmarking Character Customization of Large Language Models Jinfeng Zhou, Yongkang Huang, Bosi Wen, Guanqun Bi, Yuxuan Chen, Pei Ke, Zhuang Chen, Xiyao Xiao, Libiao Peng, Kuntian Tang, Rongsheng Zhang, Le Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang

ICLR 2025 CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-Form Planning Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang

ICLR 2025 Data Selection via Optimal Control for Language Models Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang

ICLR 2025 Language Models Learn to Mislead Humans via RLHF Jiaxin Wen, Ruiqi Zhong, Akbir Khan, Ethan Perez, Jacob Steinhardt, Minlie Huang, Samuel R. Bowman, He He, Shi Feng

ICLR 2025 MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science Erle Zhu, Yadi Liu, Zhe Zhang, Xujun Li, JinZhou, Xinjie Yu, Minlie Huang, Hongning Wang

ICLR 2025 MiniPLM: Knowledge Distillation for Pre-Training Language Models Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

ICLR 2025 SPaR: Self-Play with Tree-Search Refinement to Improve Instruction-Following in Large Language Models Jiale Cheng, Xiao Liu, Cunxiang Wang, Xiaotao Gu, Yida Lu, Dan Zhang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

AAAI 2025 SS-GEN: A Social Story Generation Framework with Large Language Models Yi Feng, Mingyang Song, Jiaqi Wang, Zhuang Chen, Guanqun Bi, Minlie Huang, Liping Jing, Jian Yu

AAAI 2025 SocialSim: Towards Socialized Simulation of Emotional Support Conversation Zhuang Chen, Yaru Cao, Guanqun Bi, Jincenzi Wu, Jinfeng Zhou, Xiyao Xiao, Si Chen, Hongning Wang, Minlie Huang

ICCV 2025 VPO: Aligning Text-to-Video Generation Models with Prompt Optimization Jiale Cheng, Ruiliang Lyu, Xiaotao Gu, Xiao Liu, Jiazheng Xu, Yida Lu, Jiayan Teng, Zhuoyi Yang, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang

NeurIPS 2024 AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang

ICLR 2024 AgentBench: Evaluating LLMs as Agents 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

NeurIPS 2024 Benchmarking Complex Instruction-Following with Multiple Constraints Composition 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

ICLR 2024 Language Model Decoding as Direct Metrics Optimization Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang

ICLR 2024 Large Language Models Are Not Robust Multiple Choice Selectors Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang

ICLR 2024 MiniLLM: Knowledge Distillation of Large Language Models Yuxian Gu, Li Dong, Furu Wei, Minlie Huang

ICML 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng

ICLRW 2024 On Prompt-Driven Safeguarding for Large Language Models Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng

NeurIPS 2024 Perception of Knowledge Boundary for Large Language Models Through Semi-Open-Ended Question Answering Zhihua Wen, Zhiliang Tian, Zexin Jian, Zhen Huang, Pei Ke, Yifu Gao, Minlie Huang, Dongsheng Li

ICLR 2024 ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving Zhibin Gou, Zhihong Shao, Yeyun Gong, Yelong Shen, Yujiu Yang, Minlie Huang, Nan Duan, Weizhu Chen

ICML 2024 Towards Efficient Exact Optimization of Language Model Alignment Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang

ICMLW 2024 Weak-to-Strong Extrapolation Expedites Alignment Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng

AAAI 2023 Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang

AAAI 2023 KPT: Keyword-Guided Pre-Training for Grounded Dialog Generation Qi Zhu, Fei Mi, Zheng Zhang, Yasheng Wang, Yitong Li, Xin Jiang, Qun Liu, Xiaoyan Zhu, Minlie Huang

ICML 2023 Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen

ICLR 2023 Tailoring Language Generation Models Under Total Variation Distance Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang

ICLR 2022 Acceleration of Federated Learning with Alleviated Forgetting in Local Training Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang

AAAI 2022 CEM: Commonsense-Aware Empathetic Response Generation Sahand Sabour, Chujie Zheng, Minlie Huang

IJCAI 2022 Curriculum-Based Self-Training Makes Better Few-Shot Learners for Data-to-Text Generation Pei Ke, Haozhe Ji, Zhenyu Yang, Yi Huang, Junlan Feng, Xiaoyan Zhu, Minlie Huang

ICML 2022 Directed Acyclic Transformer for Non-Autoregressive Machine Translation Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang

ICML 2022 On the Learning of Non-Autoregressive Transformers Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang

IJCAI 2021 Independence-Aware Advantage Estimation Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu

AAAI 2021 Stylized Dialogue Response Generation Using Stylized Unpaired Texts Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang

AAAI 2020 A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data Yinhe Zheng, Rongsheng Zhang, Minlie Huang, Xiaoxi Mao

NeurIPS 2020 Automatic Perturbation Analysis for Scalable Certified Robustness and Beyond Kaidi Xu, Zhouxing Shi, Huan Zhang, Yihan Wang, Kai-Wei Chang, Minlie Huang, Bhavya Kailkhura, Xue Lin, Cho-Jui Hsieh

NeurIPS 2020 Reinforced Molecular Optimization with Neighborhood-Controlled Grammars Chencheng Xu, Qiao Liu, Minlie Huang, Tao Jiang

ICLR 2020 Robustness Verification for Transformers Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh

AAAI 2019 A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues Zhouxing Shi, Minlie Huang

AAAI 2019 A Hierarchical Framework for Relation Extraction with Reinforcement Learning Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang

IJCAI 2019 Meta-Learning for Low-Resource Natural Language Generation in Task-Oriented Dialogue Systems Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings

AAAI 2019 Story Ending Generation with Incremental Encoding and Commonsense Knowledge Jian Guan, Yansen Wang, Minlie Huang

IJCAI 2018 A Weakly Supervised Method for Topic Segmentation and Labeling in Goal-Oriented Dialogues via Reinforcement Learning Ryuichi Takanobu, Minlie Huang, Zhongzhou Zhao, Feng-Lin Li, Haiqing Chen, Xiaoyan Zhu, Liqiang Nie

IJCAI 2018 Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu

AAAI 2018 Augmenting End-to-End Dialogue Systems with Commonsense Knowledge Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang

IJCAI 2018 Commonsense Knowledge Aware Conversation Generation with Graph Attention Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu

IJCAI 2018 Densely Connected CNN with Multi-Scale Feature Attention for Text Classification Shiyao Wang, Minlie Huang, Zhidong Deng

AAAI 2018 Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu

AAAI 2018 Learning Structured Representation for Text Classification via Reinforcement Learning Tianyang Zhang, Minlie Huang, Li Zhao

AAAI 2018 Reinforcement Learning for Relation Classification from Noisy Data Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu

AAAI 2017 SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu

IJCAI 2016 From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction Han Xiao, Minlie Huang, Xiaoyan Zhu

AAAI 2016 Semi-Supervised Multinomial Naive Bayes for Text Classification by Leveraging Word-Level Statistical Constraint Li Zhao, Minlie Huang, Ziyu Yao, Rongwei Su, Yingying Jiang, Xiaoyan Zhu

IJCAI 2015 Incorporating Domain and Sentiment Supervision in Representation Learning for Domain Adaptation Biao Liu, Minlie Huang, Jiashen Sun, Xuan Zhu

AAAI 2012 Using First-Order Logic to Compress Sentences Minlie Huang, Xing Shi, Feng Jin, Xiaoyan Zhu

IJCAI 2011 Learning to Identify Review Spam Fangtao Li, Minlie Huang, Yi Yang, Xiaoyan Zhu

AAAI 2010 Sentiment Analysis with Global Topics and Local Dependency Fangtao Li, Minlie Huang, Xiaoyan Zhu