Minlie Huang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
244
Venues
21
Active years
2006–2026
Best venue rank
A*
Where they publish
Papers
244 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Unveiling the Landscape of Clinical Depression Assessment: From Behavioral Signatures to Psychiatric Reasoning. | Zhuang Chen, Guanqun Bi, Wen Zhang, Jiawei Hu, Aoyun Wang, Xiyao Xiao, Kun Feng, Minlie Huang |
| 2026 | AAAI | When Smiley Turns Hostile: Interpreting How Emojis Trigger LLMs' Toxicity. | Shiyao Cui, Xijia Feng, Yingkang Wang, Junxiao Yang, Zhexin Zhang, Biplab Sikdar, Hongning Wang, Han Qiu, Minlie Huang |
| 2026 | AAAI | WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety. | Shilong Pan, Zhiliang Tian, Wanlong Yu, Zhen Huang, Qingyu Qiu, Zihan Chen, Zhonghao Sun, Minlie Huang, Dongsheng Li |
| 2026 | AAAI | DPRM: A Dual Implicit Process Reward Model in Multi-Hop Question Answering. | Xinyi Wang, Yiping Song, Zhiliang Tian, Bo Liu, Tingjin Luo, Minlie Huang |
| 2026 | AAAI | VisionReward: Fine-Grained Multi-Dimensional Human Preference Learning for Image and Video Generation. | Jiazheng Xu, Yu Huang, Jiale Cheng, Yuanming Yang, Jiajun Xu, Yuan Wang, Wenbo Duan, Shen Yang, Qunlin Jin, Shurun Li, Jiayan Teng, Zhuoyi Yang, Wendi Zheng, Xiao Liu, Dan Zhang, Ming Ding, Xiaohan Zhang, Shiyu Huang, Xiaotao Gu, Minlie Huang, Jie Tang, Yuxiao Dong |
| 2026 | AAAI | Ψ-Arena: Interactive Assessment and Optimization of LLM-based Psychological Counselors with Tripartite Feedback. | Shijing Zhu, Zhuang Chen, Guanqun Bi, Binghang Li, Yaxi Deng, Dazhen Wan, Libiao Peng, Xiyao Xiao, Rongsheng Zhang, Tangjie Lv, Zhipeng Hu, Fangfang Li, Minlie Huang |
| 2026 | ACL | S⌃4: Operationalizing Speech Act Theory for Strategic Semi-Structured Psychiatric Interview. | Guanqun Bi, Zhoufu Liu, Zhuang Chen, Dazhen Wan, Xiyao Xiao, Minlie Huang |
| 2026 | ACL | Glyph: Scaling Context Windows via Visual-Text Compression. | Jiale Cheng, Yusen Liu, Xinyu Zhang, Yulin Fei, Wenyi Hong, Ruiliang Lyu, Weihan Wang, Zhe Su, Xiaotao Gu, Xiao Liu, Yushi Bai, Jie Tang, Hongning Wang, Minlie Huang |
| 2026 | ACL | The Side Effects of Being Smart: Safety Risks in MLLMs' Multi-Image Reasoning. | Renmiao Chen, Yida Lu, Shiyao Cui, Xuan Ouyang, Victor Shea-Jay Huang, Shumin Zhang, Chengwei Pan, Han Qiu, Minlie Huang |
| 2026 | ACL | PsychePass: Calibrating LLM Therapeutic Competence via Trajectory-Anchored Tournaments. | Zhuang Chen, Dazhen Wan, Zhangkai Zheng, Guanqun Bi, Xiyao Xiao, Binghang Li, Minlie Huang |
| 2026 | ACL | New Terms, New Toxicity: Consensus-based Chinese Neologism Toxicity Detection via Search-Augmented LLMs. | Shiyao Cui, Qinglin Zhang, Di Wang, Yida Lu, Zhexin Zhang, Jinhua Gao, Jinglin Yang, Min He, Han Qiu, Minlie Huang |
| 2026 | ACL | HoWToBench: Holistic Evaluation for LLM's Capability in Human-level Writing using Tree of Writing. | Andrew Zhuoer Feng, Cunxiang Wang, Yu Luo, Lin Fan, Irene Zhou, Zikang Wang, Xiaotao Gu, Jie Tang, Hongning Wang, Minlie Huang |
| 2026 | ACL | IF-CRITIC: Towards a Fine-Grained LLM Critic for Instruction-Following Evaluation. | Bosi Wen, Yilin Niu, Cunxiang Wang, Pei Ke, Xiaoying Ling, Ying Zhang, Aohan Zeng, Hongning Wang, Minlie Huang |
| 2026 | ACL | IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation. | Bosi Wen, Yilin Niu, Cunxiang Wang, Xiaoying Ling, Ying Zhang, Pei Ke, Hongning Wang, Minlie Huang |
| 2026 | ACL | LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety. | Junxiao Yang, Haoran Liu, Jinzhe Tu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Jiaqi Weng, Jialing Tao, Hui Xue, Hongning Wang, Han Qiu, Minlie Huang |
| 2026 | ACL | How Should We Enhance the Safety of Large Reasoning Models: An Empirical Study. | Zhexin Zhang, Xian Qi Loye, Victor Shea-Jay Huang, Junxiao Yang, Qi Zhu, Shiyao Cui, Fei Mi, Lifeng Shang, Yingkang Wang, Hongning Wang, Minlie Huang |
| 2026 | ACL | Data Efficient RLVR via Off-Policy Influence Guidance. | Erle Zhu, Dazhi Jiang, Yuan Wang, Xujun Li, Jiale Cheng, Yuxian Gu, Yilin Niu, Aohan Zeng, Jie Tang, Minlie Huang, Hongning Wang |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | ACL | Training Language Model to Critique for Better Refinement. | Tianshu Yu, Chao Xiang, Mingchuan Yang, Pei Ke, Bosi Wen, Cunxiang Wang, Jiale Cheng, Li Zhang, Xinyu Mu, Chuxiong Sun, Minlie Huang |
| 2025 | ACL | LegalAgentBench: Evaluating LLM Agents in Legal Domain. | Haitao Li, Junjie Chen, Jingli Yang, Qingyao Ai, Wei Jia, Youfeng Liu, Kai Lin, Yueyue Wu, Guozhi Yuan, Yiran Hu, Wuyue Wang, Yiqun Liu, Minlie Huang |
| 2025 | ACL | MAGI: Multi-Agent Guided Interview for Psychiatric Assessment. | Guanqun Bi, Zhuang Chen, Zhoufu Liu, Hongkai Wang, Xiyao Xiao, Yuqiang Xie, Wen Zhang, Yongkang Huang, Yuxuan Chen, Libiao Peng, Minlie Huang |
| 2025 | ACL | MHALO: Evaluating MLLMs as Fine-grained Hallucination Detectors. | Yishuo Cai, Renjie Gu, Jiaxu Li, Xuancheng Huang, Junzhe Chen, Xiaotao Gu, Minlie Huang |
| 2025 | ACL | LogicGame: Benchmarking Rule-Based Reasoning Abilities of Large Language Models. | Jiayi Gui, Yiming Liu, Jiale Cheng, Xiaotao Gu, Xiao Liu, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2025 | ACL | Internal Value Alignment in Large Language Models through Controlled Value Vector Activation. | Haoran Jin, Meng Li, Xiting Wang, Zhihao Xu, Minlie Huang, Yantao Jia, Defu Lian |
| 2025 | ACL | A Survey of Post-Training Scaling in Large Language Models. | Hanyu Lai, Xiao Liu, Junjie Gao, Jiale Cheng, Zehan Qi, Yifan Xu, Shuntian Yao, Dan Zhang, Jinhua Du, Zhenyu Hou, Xin Lv, Minlie Huang, Yuxiao Dong, Jie Tang |
| 2025 | ACL | Advancing Collaborative Debates with Role Differentiation through Multi-Agent Reinforcement Learning. | Haoran Li, Ziyi Su, Yun Xue, Zhiliang Tian, Yiping Song, Minlie Huang |
| 2025 | ACL | LongSafety: Evaluating Long-Context Safety of Large Language Models. | Yida Lu, Jiale Cheng, Zhexin Zhang, Shiyao Cui, Cunxiang Wang, Xiaotao Gu, Yuxiao Dong, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models. | Shilong Pan, Zhiliang Tian, Zhen Huang, Wanlong Yu, Zhihua Wen, Xinwang Liu, Kai Lu, Minlie Huang, Dongsheng Li |
| 2025 | ACL | DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation. | Zhonghao Sun, Zhiliang Tian, Yiping Song, Yuyi Si, Juhua Zhang, Minlie Huang, Kai Lu, Zeyu Xiong, Xinwang Liu, Dongsheng Li |
| 2025 | ACL | Battling against Tough Resister: Strategy Planning with Adversarial Game for Non-collaborative Dialogues. | Haiyang Wang, Zhiliang Tian, Yuchen Pan, Xin Song, Xin Niu, Minlie Huang, Bin Zhou |
| 2025 | ACL | DELMAN: Dynamic Defense Against Large Language Model Jailbreaking with Model Editing. | Yi Wang, Fenghua Weng, Sibei Yang, Zhan Qin, Minlie Huang, Wenjie Wang |
| 2025 | ACL | HPSS: Heuristic Prompting Strategy Search for LLM Evaluators. | Bosi Wen, Pei Ke, Yufei Sun, Cunxiang Wang, Xiaotao Gu, Jinfeng Zhou, Jie Tang, Hongning Wang, Minlie Huang |
| 2025 | ACL | Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and Findings. | Shujian Yang, Shiyao Cui, Chuanrui Hu, Haicheng Wang, Tianwei Zhang, Minlie Huang, Jialiang Lu, Han Qiu |
| 2025 | ACL | Guiding not Forcing: Enhancing the Transferability of Jailbreaking Attacks on LLMs via Removing Superfluous Constraints. | Junxiao Yang, Zhexin Zhang, Shiyao Cui, Hongning Wang, Minlie Huang |
| 2025 | ACL | DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference. | Juhua Zhang, Zhiliang Tian, Minghang Zhu, Yiping Song, Taishu Sheng, Siyi Yang, Qiunan Du, Xinwang Liu, Minlie Huang, Dongsheng Li |
| 2025 | ACL | Understanding the Dark Side of LLMs' Intrinsic Self-Correction. | Qingjie Zhang, Di Wang, Haoting Qian, Yiming Li, Tianwei Zhang, Minlie Huang, Ke Xu, Hewu Li, Liu Yan, Han Qiu |
| 2025 | ACL | Model Extrapolation Expedites Alignment. | Chujie Zheng, Ziqi Wang, Heng Ji, Minlie Huang, Nanyun Peng |
| 2025 | ACL | SocialEval: Evaluating Social Intelligence of Large Language Models. | Jinfeng Zhou, Yuxuan Chen, Yihan Shi, Xuanming Zhang, Leqi Lei, Yi Feng, Zexuan Xiong, Miao Yan, Xunzhi Wang, Yaru Cao, Jianing Yin, Shuai Wang, Quanyu Dai, Zhenhua Dong, Hongning Wang, Minlie Huang |
| 2025 | EASE | How Well Do Large Language Models Serve as End-to-End Secure Code Agents for Python? | Jianian Gong, Nachuan Duan, Ziheng Tao, Zhaohui Gong, Yuan Yuan, Minlie Huang |
| 2025 | EMNLP | "I've Decided to Leak": Probing Internals Behind Prompt Leakage Intents. | Jianshuo Dong, Yutong Zhang, Liu Yan, Zhenyu Zhong, Tao Wei, Ke Xu, Minlie Huang, Chao Zhang, Han Qiu |
| 2025 | EMNLP | Reframe Your Life Story: Interactive Narrative Therapist and Innovative Moment Assessment with Large Language Models. | Yi Feng, Jiaqi Wang, Wenxuan Zhang, Zhuang Chen, Yutong Shen, Xiyao Xiao, Minlie Huang, Liping Jing, Jian Yu |
| 2025 | EMNLP | DiffusionAttacker: Diffusion-Driven Prompt Manipulation for LLM Jailbreak. | Hao Wang, Hao Li, Junda Zhu, Xinyuan Wang, Chengwei Pan, Minlie Huang, Lei Sha |
| 2025 | EMNLP | DCMKC: A Dual Consistency Matching Approach for Multi-hop Question Answering in LLMs. | Xinyi Wang, Yiping Song, Chang Liu, Tingjin Luo, Bo Liu, Zheng Xie, Minlie Huang |
| 2025 | EMNLP | Adversary-Aware DPO: Enhancing Safety Alignment in Vision Language Models via Adversarial Training. | Fenghua Weng, Jian Lou, Jun Feng, Minlie Huang, Wenjie Wang |
| 2025 | EMNLP | Speculating LLMs' Chinese Training Data Pollution from Their Tokens. | Qingjie Zhang, Di Wang, Haoting Qian, Liu Yan, Tianwei Zhang, Ke Xu, Qi Li, Minlie Huang, Hewu Li, Han Qiu |
| 2025 | EMNLP | Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive Dialogues. | Jinfeng Zhou, Yuxuan Chen, Jianing Yin, Yongkang Huang, Yihan Shi, Xikun Zhang, Libiao Peng, Rongsheng Zhang, Tangjie Lv, Zhipeng Hu, Hongning Wang, Minlie Huang |
| 2025 | ICCV | 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 |
| 2025 | ICLR | 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 |
| 2025 | ICLR | Data Selection via Optimal Control for Language Models. | Yuxian Gu, Li Dong, Hongning Wang, Yaru Hao, Qingxiu Dong, Furu Wei, Minlie Huang |
| 2025 | ICLR | MiniPLM: Knowledge Distillation for Pre-training Language Models. | Yuxian Gu, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang |
| 2025 | ICLR | CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning. | Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang |
| 2025 | ICLR | 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 |
| 2025 | ICLR | MAPS: Advancing Multi-Modal Reasoning in Expert-Level Physical Science. | Erle Zhu, Yadi Liu, Zhe Zhang, Xujun Li, Jin Zhou, Xinjie Yu, Minlie Huang, Hongning Wang |
| 2025 | WWW | Scenario-independent Uncertainty Estimation for LLM-based Question Answering via Factor Analysis. | Zhihua Wen, Zhizhao Liu, Zhiliang Tian, Shilong Pan, Zhen Huang, Dongsheng Li, Minlie Huang |
| 2025 | SIGIR | HCDS: Hierarchical Clustering for Cold-Start Few-Shot Data Selection. | Yuhua Zhao, Zhixin Han, Xunzhi Wang, Bitong Luo, Hang Gao, Minlie Huang, Mengting Hu |
| 2024 | ACL | ToMBench: Benchmarking Theory of Mind in Large Language Models. | Zhuang Chen, Jincenzi Wu, Jinfeng Zhou, Bosi Wen, Guanqun Bi, Gongyao Jiang, Yaru Cao, Mengting Hu, Yunghwei Lai, Zexuan Xiong, Minlie Huang |
| 2024 | ACL | Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. | Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang |
| 2024 | ACL | 360°REA: Towards A Reusable Experience Accumulation with 360° Assessment for Multi-Agent System. | Shen Gao, Hao Li, Zhengliang Shi, Chengrui Huang, Quan Tu, Shuo Shang, Zhiliang Tian, Minlie Huang |
| 2024 | ACL | CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. | Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | ACL | AlignBench: Benchmarking Chinese Alignment of Large Language Models. | 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 |
| 2024 | ACL | EmoBench: Evaluating the Emotional Intelligence of Large Language Models. | Sahand Sabour, Siyang Liu, Zheyuan Zhang, June M. Liu, Jinfeng Zhou, Alvionna S. Sunaryo, Tatia M. C. Lee, Rada Mihalcea, Minlie Huang |
| 2024 | ACL | Learning Task Decomposition to Assist Humans in Competitive Programming. | Jiaxin Wen, Ruiqi Zhong, Pei Ke, Zhihong Shao, Hongning Wang, Minlie Huang |
| 2024 | ACL | COKE: A Cognitive Knowledge Graph for Machine Theory of Mind. | Jincenzi Wu, Zhuang Chen, Jiawen Deng, Sahand Sabour, Helen Meng, Minlie Huang |
| 2024 | ACL | SafetyBench: Evaluating the Safety of Large Language Models. | Zhexin Zhang, Leqi Lei, Lindong Wu, Rui Sun, Yongkang Huang, Chong Long, Xiao Liu, Xuanyu Lei, Jie Tang, Minlie Huang |
| 2024 | ACL | Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization. | Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang |
| 2024 | COLING | Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs. | Haiyang Wang, Zhiliang Tian, Xin Song, Yue Zhang, Yuchen Pan, Hongkui Tu, Minlie Huang, Bin Zhou |
| 2024 | EMNLP | Instruction Pre-Training: Language Models are Supervised Multitask Learners. | Daixuan Cheng, Yuxian Gu, Shaohan Huang, Junyu Bi, Minlie Huang, Furu Wei |
| 2024 | EMNLP | AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. | Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | EMNLP | Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. | Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan |
| 2024 | EMNLP | ASETF: A Novel Method for Jailbreak Attack on LLMs through Translate Suffix Embeddings. | Hao Wang, Hao Li, Minlie Huang, Lei Sha |
| 2024 | EMNLP | DC-Instruct: An Effective Framework for Generative Multi-intent Spoken Language Understanding. | Bowen Xing, Lizi Liao, Minlie Huang, Ivor W. Tsang |
| 2024 | EMNLP | ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors. | Zhexin Zhang, Yida Lu, Jingyuan Ma, Di Zhang, Rui Li, Pei Ke, Hao Sun, Lei Sha, Zhifang Sui, Hongning Wang, Minlie Huang |
| 2024 | EMNLP | Thoughts to Target: Enhance Planning for Target-driven Conversation. | Zhonghua Zheng, Lizi Liao, Yang Deng, Ee-Peng Lim, Minlie Huang, Liqiang Nie |
| 2024 | EMNLP | CharacterGLM: Customizing Social Characters with Large Language Models. | Jinfeng Zhou, Zhuang Chen, Dazhen Wan, Bosi Wen, Yi Song, Jifan Yu, Yongkang Huang, Pei Ke, Guanqun Bi, Libiao Peng, Jiaming Yang, Xiyao Xiao, Sahand Sabour, Xiaohan Zhang, Wenjing Hou, Yijia Zhang, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang |
| 2024 | ICLR | 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 |
| 2024 | ICLR | 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 |
| 2024 | ICLR | MiniLLM: Knowledge Distillation of Large Language Models. | Yuxian Gu, Li Dong, Furu Wei, Minlie Huang |
| 2024 | ICLR | Language Model Decoding as Direct Metrics Optimization. | Haozhe Ji, Pei Ke, Hongning Wang, Minlie Huang |
| 2024 | ICLR | Large Language Models Are Not Robust Multiple Choice Selectors. | Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang |
| 2024 | ICML | Towards Efficient Exact Optimization of Language Model Alignment. | Haozhe Ji, Cheng Lu, Yilin Niu, Pei Ke, Hongning Wang, Jun Zhu, Jie Tang, Minlie Huang |
| 2024 | ICML | 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 |
| 2024 | NAACL | Language Models Hallucinate, but May Excel at Fact Verification. | Jian Guan, Jesse Dodge, David Wadden, Minlie Huang, Hao Peng |
| 2024 | NAACL | Depression Detection in Clinical Interviews with LLM-Empowered Structural Element Graph. | Zhuang Chen, Jiawen Deng, Jinfeng Zhou, Jincenzi Wu, Tieyun Qian, Minlie Huang |
| 2023 | AAAI | 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 |
| 2023 | AAAI | Generating Coherent Narratives by Learning Dynamic and Discrete Entity States with a Contrastive Framework. | Jian Guan, Zhenyu Yang, Rongsheng Zhang, Zhipeng Hu, Minlie Huang |
| 2023 | ACL | MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Moral Discussions. | Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang |
| 2023 | ACL | PAL: Persona-Augmented Emotional Support Conversation Generation. | Jiale Cheng, Sahand Sabour, Hao Sun, Zhuang Chen, Minlie Huang |
| 2023 | ACL | Pre-Training to Learn in Context. | Yuxian Gu, Li Dong, Furu Wei, Minlie Huang |
| 2023 | ACL | Mitigating the Learning Bias towards Repetition by Self-Contrastive Training for Open-Ended Generation. | Jian Guan, Minlie Huang |
| 2023 | ACL | Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. | Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang |
| 2023 | ACL | DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering. | Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang |
| 2023 | ACL | Self-Supervised Sentence Polishing by Adding Engaging Modifiers. | Zhexin Zhang, Jian Guan, Xin Cui, Yu Ran, Bo Liu, Minlie Huang |
| 2023 | ACL | E-NER: Evidential Deep Learning for Trustworthy Named Entity Recognition. | Zhen Zhang, Mengting Hu, Shiwan Zhao, Minlie Huang, Haotian Wang, Lemao Liu, Zhirui Zhang, Zhe Liu, Bingzhe Wu |
| 2023 | ACL | ETHICIST: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation. | Zhexin Zhang, Jiaxin Wen, Minlie Huang |
| 2023 | ACL | Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning. | Chujie Zheng, Pei Ke, Zheng Zhang, Minlie Huang |
| 2023 | ACL | AugESC: Dialogue Augmentation with Large Language Models for Emotional Support Conversation. | Chujie Zheng, Sahand Sabour, Jiaxin Wen, Zheng Zhang, Minlie Huang |
| 2023 | ACL | Facilitating Multi-turn Emotional Support Conversation with Positive Emotion Elicitation: A Reinforcement Learning Approach. | Jinfeng Zhou, Zhuang Chen, Bo Wang, Minlie Huang |
| 2023 | ACL | CASE: Aligning Coarse-to-Fine Cognition and Affection for Empathetic Response Generation. | Jinfeng Zhou, Chujie Zheng, Bo Wang, Zheng Zhang, Minlie Huang |
| 2023 | ACL | StoryTrans: Non-Parallel Story Author-Style Transfer with Discourse Representations and Content Enhancing. | Xuekai Zhu, Jian Guan, Minlie Huang, Juan Liu |
| 2023 | EMNLP | Task-Adaptive Tokenization: Enhancing Long-Form Text Generation Efficacy in Mental Health and Beyond. | Siyang Liu, Naihao Deng, Sahand Sabour, Yilin Jia, Minlie Huang, Rada Mihalcea |
| 2023 | EMNLP | ConvLab-3: A Flexible Dialogue System Toolkit Based on a Unified Data Format. | 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 |
| 2023 | EMNLP | Building Multi-domain Dialog State Trackers from Single-domain Dialogs. | Qi Zhu, Zheng Zhang, Xiaoyan Zhu, Minlie Huang |
| 2023 | EMNLP | Multi-Source Probing for Open-Domain Conversational Understanding. | Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang |
| 2023 | EMNLP | Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy. | Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen |
| 2023 | EMNLP | Unveiling the Implicit Toxicity in Large Language Models. | Jiaxin Wen, Pei Ke, Hao Sun, Zhexin Zhang, Chengfei Li, Jinfeng Bai, Minlie Huang |
| 2023 | EMNLP | Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. | Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang |
| 2023 | EMNLP | InstructSafety: A Unified Framework for Building Multidimensional and Explainable Safety Detector through Instruction Tuning. | Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Minlie Huang |
| 2023 | ICLR | Tailoring Language Generation Models under Total Variation Distance. | Haozhe Ji, Pei Ke, Zhipeng Hu, Rongsheng Zhang, Minlie Huang |
| 2023 | ICML | Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models. | Zhihong Shao, Yeyun Gong, Yelong Shen, Minlie Huang, Nan Duan, Weizhu Chen |
| 2022 | AAAI | CEM: Commonsense-Aware Empathetic Response Generation. | Sahand Sabour, Chujie Zheng, Minlie Huang |
| 2022 | ACL | Continual Prompt Tuning for Dialog State Tracking. | Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, Minlie Huang |
| 2022 | ACL | On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. | Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang |
| 2022 | ACL | PPT: Pre-trained Prompt Tuning for Few-shot Learning. | Yuxian Gu, Xu Han, Zhiyuan Liu, Minlie Huang |
| 2022 | ACL | CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. | Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang |
| 2022 | ACL | Rethinking and Refining the Distinct Metric. | Siyang Liu, Sahand Sabour, Yinhe Zheng, Pei Ke, Xiaoyan Zhu, Minlie Huang |
| 2022 | ACL | Answering Open-Domain Multi-Answer Questions via a Recall-then-Verify Framework. | Zhihong Shao, Minlie Huang |
| 2022 | EMNLP | COLD: A Benchmark for Chinese Offensive Language Detection. | Jiawen Deng, Jingyan Zhou, Hao Sun, Chujie Zheng, Fei Mi, Helen Meng, Minlie Huang |
| 2022 | EMNLP | Learning Instructions with Unlabeled Data for Zero-Shot Cross-Task Generalization. | Yuxian Gu, Pei Ke, Xiaoyan Zhu, Minlie Huang |
| 2022 | EMNLP | WSpeller: Robust Word Segmentation for Enhancing Chinese Spelling Check. | Fangfang Li, Youran Shan, Junwen Duan, Xingliang Mao, Minlie Huang |
| 2022 | EMNLP | Chaining Simultaneous Thoughts for Numerical Reasoning. | Zhihong Shao, Fei Huang, Minlie Huang |
| 2022 | EMNLP | A Unified Dialogue User Simulator for Few-shot Data Augmentation. | Dazhen Wan, Zheng Zhang, Qi Zhu, Lizi Liao, Minlie Huang |
| 2022 | EMNLP | AutoCAD: Automatically Generate Counterfactuals for Mitigating Shortcut Learning. | Jiaxin Wen, Yeshuang Zhu, Jinchao Zhang, Jie Zhou, Minlie Huang |
| 2022 | EMNLP | Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation. | Zhexin Zhang, Jiale Cheng, Hao Sun, Jiawen Deng, Fei Mi, Yasheng Wang, Lifeng Shang, Minlie Huang |
| 2022 | EMNLP | Automatic Comment Generation for Chinese Student Narrative Essays. | Zhexin Zhang, Jian Guan, Guowei Xu, Yixiang Tian, Minlie Huang |
| 2022 | EMNLP | CDConv: A Benchmark for Contradiction Detection in Chinese Conversations. | Chujie Zheng, Jinfeng Zhou, Yinhe Zheng, Libiao Peng, Zhen Guo, Wenquan Wu, Zheng-Yu Niu, Hua Wu, Minlie Huang |
| 2022 | EMNLP | Aligning Recommendation and Conversation via Dual Imitation. | Jinfeng Zhou, Bo Wang, Minlie Huang, Dongming Zhao, Kun Huang, Ruifang He, Yuexian Hou |
| 2022 | EMNLP | Towards Identifying Social Bias in Dialog Systems: Framework, Dataset, and Benchmark. | Jingyan Zhou, Jiawen Deng, Fei Mi, Yitong Li, Yasheng Wang, Minlie Huang, Xin Jiang, Qun Liu, Helen Meng |
| 2022 | ICLR | Acceleration of Federated Learning with Alleviated Forgetting in Local Training. | Chencheng Xu, Zhiwei Hong, Minlie Huang, Tao Jiang |
| 2022 | ICML | On the Learning of Non-Autoregressive Transformers. | Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang |
| 2022 | ICML | Directed Acyclic Transformer for Non-Autoregressive Machine Translation. | Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang |
| 2022 | IJCAI | 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 |
| 2022 | NAACL | A Corpus for Understanding and Generating Moral Stories. | Jian Guan, Ziqi Liu, Minlie Huang |
| 2022 | NAACL | LaMemo: Language Modeling with Look-Ahead Memory. | Haozhe Ji, Rongsheng Zhang, Zhenyu Yang, Zhipeng Hu, Minlie Huang |
| 2022 | NAACL | Persona-Guided Planning for Controlling the Protagonist's Persona in Story Generation. | Zhexin Zhang, Jiaxin Wen, Jian Guan, Minlie Huang |
| 2021 | AAAI | Stylized Dialogue Response Generation Using Stylized Unpaired Texts. | Yinhe Zheng, Zikai Chen, Rongsheng Zhang, Shilei Huang, Xiaoxi Mao, Minlie Huang |
| 2021 | ACL | HyKnow: End-to-End Task-Oriented Dialog Modeling with Hybrid Knowledge Management. | Silin Gao, Ryuichi Takanobu, Wei Peng, Qun Liu, Minlie Huang |
| 2021 | ACL | Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. | Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang |
| 2021 | ACL | OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. | Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang |
| 2021 | ACL | NAST: A Non-Autoregressive Generator with Word Alignment for Unsupervised Text Style Transfer. | Fei Huang, Zikai Chen, Chen Henry Wu, Qihan Guo, Xiaoyan Zhu, Minlie Huang |
| 2021 | ACL | JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs. | Pei Ke, Haozhe Ji, Yu Ran, Xin Cui, Liwei Wang, Linfeng Song, Xiaoyan Zhu, Minlie Huang |
| 2021 | ACL | Stylized Story Generation with Style-Guided Planning. | Xiangzhe Kong, Jialiang Huang, Ziquan Tung, Jian Guan, Minlie Huang |
| 2021 | ACL | Robustness Testing of Language Understanding in Task-Oriented Dialog. | Jiexi Liu, Ryuichi Takanobu, Jiaxin Wen, Dazhen Wan, Hongguang Li, Weiran Nie, Cheng Li, Wei Peng, Minlie Huang |
| 2021 | ACL | Towards Emotional Support Dialog Systems. | Siyang Liu, Chujie Zheng, Orianna Demasi, Sahand Sabour, Yu Li, Zhou Yu, Yong Jiang, Minlie Huang |
| 2021 | ACL | A Semantic-based Method for Unsupervised Commonsense Question Answering. | Yilin Niu, Fei Huang, Jiaming Liang, Wenkai Chen, Xiaoyan Zhu, Minlie Huang |
| 2021 | ACL | ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning. | Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou |
| 2021 | ACL | A Mutual Information Maximization Approach for the Spurious Solution Problem in Weakly Supervised Question Answering. | Zhihong Shao, Lifeng Shang, Qun Liu, Minlie Huang |
| 2021 | ACL | PsyQA: A Chinese Dataset for Generating Long Counseling Text for Mental Health Support. | Hao Sun, Zhenru Lin, Chujie Zheng, Siyang Liu, Minlie Huang |
| 2021 | ACL | Diversifying Dialog Generation via Adaptive Label Smoothing. | Yida Wang, Yinhe Zheng, Yong Jiang, Minlie Huang |
| 2021 | ACL | KuiLeiXi: a Chinese Open-Ended Text Adventure Game. | 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 |
| 2021 | ACL | CoMAE: A Multi-factor Hierarchical Framework for Empathetic Response Generation. | Chujie Zheng, Yong Liu, Wei Chen, Yongcai Leng, Minlie Huang |
| 2021 | EMNLP | DiscoDVT: Generating Long Text with Discourse-Aware Discrete Variational Transformer. | Haozhe Ji, Minlie Huang |
| 2021 | EMNLP | CR-Walker: Tree-Structured Graph Reasoning and Dialog Acts for Conversational Recommendation. | Wenchang Ma, Ryuichi Takanobu, Minlie Huang |
| 2021 | EMNLP | Self-training Improves Pre-training for Few-shot Learning in Task-oriented Dialog Systems. | Fei Mi, Wanhao Zhou, Lingjing Kong, Fengyu Cai, Minlie Huang, Boi Faltings |
| 2021 | EMNLP | Transferable Persona-Grounded Dialogues via Grounded Minimal Edits. | Chen Henry Wu, Yinhe Zheng, Xiaoxi Mao, Minlie Huang |
| 2021 | EMNLP | EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning. | Hao Zhou, Minlie Huang, Yong Liu, Wei Chen, Xiaoyan Zhu |
| 2021 | IJCAI | Independence-aware Advantage Estimation. | Pushi Zhang, Li Zhao, Guoqing Liu, Jiang Bian, Minlie Huang, Tao Qin, Tie-Yan Liu |
| 2021 | KDD | FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data. | Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Grel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou |
| 2021 | SIGIR | MMConv: An Environment for Multimodal Conversational Search across Multiple Domains. | Lizi Liao, Le Hong Long, Zheng Zhang, Minlie Huang, Tat-Seng Chua |
| 2020 | AAAI | A Pre-Training Based Personalized Dialogue Generation Model with Persona-Sparse Data. | Yinhe Zheng, Rongsheng Zhang, Minlie Huang, Xiaoxi Mao |
| 2020 | ACL | A Self-Training Method for Machine Reading Comprehension with Soft Evidence Extraction. | Yilin Niu, Fangkai Jiao, Mantong Zhou, Ting Yao, Jingfang Xu, Minlie Huang |
| 2020 | ACL | Multi-Agent Task-Oriented Dialog Policy Learning with Role-Aware Reward Decomposition. | Ryuichi Takanobu, Runze Liang, Minlie Huang |
| 2020 | ACL | KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. | Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu |
| 2020 | ACL | ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems. | Qi Zhu, Zheng Zhang, Yan Fang, Xiang Li, Ryuichi Takanobu, Jinchao Li, Baolin Peng, Jianfeng Gao, Xiaoyan Zhu, Minlie Huang |
| 2020 | EMNLP | UNION: An Unreferenced Metric for Evaluating Open-ended Story Generation. | Jian Guan, Minlie Huang |
| 2020 | EMNLP | Language Generation with Multi-Hop Reasoning on Commonsense Knowledge Graph. | Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Xiaoyan Zhu, Minlie Huang |
| 2020 | EMNLP | SentiLARE: Sentiment-Aware Language Representation Learning with Linguistic Knowledge. | Pei Ke, Haozhe Ji, Siyang Liu, Xiaoyan Zhu, Minlie Huang |
| 2020 | EMNLP | Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. | Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings |
| 2020 | EMNLP | Robustness to Modification with Shared Words in Paraphrase Identification. | Zhouxing Shi, Minlie Huang |
| 2020 | EMNLP | Youling: an AI-assisted Lyrics Creation System. | Rongsheng Zhang, Xiaoxi Mao, Le Li, Lin Jiang, Lin Chen, Zhiwei Hu, Yadong Xi, Changjie Fan, Minlie Huang |
| 2020 | EMNLP | Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data. | Rongsheng Zhang, Yinhe Zheng, Jianzhi Shao, Xiaoxi Mao, Yadong Xi, Minlie Huang |
| 2020 | EMNLP | Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. | Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang |
| 2020 | ICLR | Robustness Verification for Transformers. | Zhouxing Shi, Huan Zhang, Kai-Wei Chang, Minlie Huang, Cho-Jui Hsieh |
| 2020 | IJCNLP | Generating Commonsense Explanation by Extracting Bridge Concepts from Reasoning Paths. | Haozhe Ji, Pei Ke, Shaohan Huang, Furu Wei, Minlie Huang |
| 2020 | IJCNLP | ExpanRL: Hierarchical Reinforcement Learning for Course Concept Expansion in MOOCs. | Jifan Yu, Chenyu Wang, Gan Luo, Lei Hou, Juanzi Li, Jie Tang, Minlie Huang, Zhiyuan Liu |
| 2020 | IJCNLP | Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. | Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang |
| 2020 | SIGdial | Is Your Goal-Oriented Dialog Model Performing Really Well? Empirical Analysis of System-wise Evaluation. | Ryuichi Takanobu, Qi Zhu, Jinchao Li, Baolin Peng, Jianfeng Gao, Minlie Huang |
| 2019 | AAAI | Story Ending Generation with Incremental Encoding and Commonsense Knowledge. | Jian Guan, Yansen Wang, Minlie Huang |
| 2019 | AAAI | A Deep Sequential Model for Discourse Parsing on Multi-Party Dialogues. | Zhouxing Shi, Minlie Huang |
| 2019 | AAAI | A Hierarchical Framework for Relation Extraction with Reinforcement Learning. | Ryuichi Takanobu, Tianyang Zhang, Jiexi Liu, Minlie Huang |
| 2019 | ACL | ConvLab: Multi-Domain End-to-End Dialog System Platform. | Sungjin Lee, Qi Zhu, Ryuichi Takanobu, Zheng Zhang, Yaoqin Zhang, Xiang Li, Jinchao Li, Baolin Peng, Xiujun Li, Minlie Huang, Jianfeng Gao |
| 2019 | ACL | ChID: A Large-scale Chinese IDiom Dataset for Cloze Test. | Chujie Zheng, Minlie Huang, Aixin Sun |
| 2019 | EMNLP | ARAML: A Stable Adversarial Training Framework for Text Generation. | Pei Ke, Fei Huang, Minlie Huang, Xiaoyan Zhu |
| 2019 | EMNLP | Long and Diverse Text Generation with Planning-based Hierarchical Variational Model. | Zhihong Shao, Minlie Huang, Jiangtao Wen, Wenfei Xu, Xiaoyan Zhu |
| 2019 | EMNLP | Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog. | Ryuichi Takanobu, Hanlin Zhu, Minlie Huang |
| 2019 | IJCAI | Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. | Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings |
| 2019 | WWW | Aggregating E-commerce Search Results from Heterogeneous Sources via Hierarchical Reinforcement Learning. | Ryuichi Takanobu, Tao Zhuang, Minlie Huang, Jun Feng, Haihong Tang, Bo Zheng |
| 2019 | WWW | Aspect-level Sentiment Analysis using AS-Capsules. | Yequan Wang, Aixin Sun, Minlie Huang, Xiaoyan Zhu |
| 2019 | WWW | Neural Multimodal Belief Tracker with Adaptive Attention for Dialogue Systems. | Zheng Zhang, Lizi Liao, Minlie Huang, Xiaoyan Zhu, Tat-Seng Chua |
| 2019 | WWW | Domain-Constrained Advertising Keyword Generation. | Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu |
| 2019 | SIGIR | User Attention-guided Multimodal Dialog Systems. | Chen Cui, Wenjie Wang, Xuemeng Song, Minlie Huang, Xin-Shun Xu, Liqiang Nie |
| 2018 | AAAI | Reinforcement Learning for Relation Classification From Noisy Data. | Jun Feng, Minlie Huang, Li Zhao, Yang Yang, Xiaoyan Zhu |
| 2018 | AAAI | Augmenting End-to-End Dialogue Systems With Commonsense Knowledge. | Tom Young, Erik Cambria, Iti Chaturvedi, Hao Zhou, Subham Biswas, Minlie Huang |
| 2018 | AAAI | Learning Structured Representation for Text Classification via Reinforcement Learning. | Tianyang Zhang, Minlie Huang, Li Zhao |
| 2018 | AAAI | Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. | Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu |
| 2018 | ACL | Generating Informative Responses with Controlled Sentence Function. | Pei Ke, Jian Guan, Minlie Huang, Xiaoyan Zhu |
| 2018 | ACL | Learning to Ask Questions in Open-domain Conversational Systems with Typed Decoders. | Yansen Wang, Chenyi Liu, Minlie Huang, Liqiang Nie |
| 2018 | COLING | An Operation Network for Abstractive Sentence Compression. | Naitong Yu, Jie Zhang, Minlie Huang, Xiaoyan Zhu |
| 2018 | COLING | An Interpretable Reasoning Network for Multi-Relation Question Answering. | Mantong Zhou, Minlie Huang, Xiaoyan Zhu |
| 2018 | IJCAI | Assigning Personality/Profile to a Chatting Machine for Coherent Conversation Generation. | Qiao Qian, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu |
| 2018 | IJCAI | 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 |
| 2018 | IJCAI | Densely Connected CNN with Multi-scale Feature Attention for Text Classification. | Shiyao Wang, Minlie Huang, Zhidong Deng |
| 2018 | IJCAI | Commonsense Knowledge Aware Conversation Generation with Graph Attention. | Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu |
| 2018 | WWW | Learning to Collaborate: Multi-Scenario Ranking via Multi-Agent Reinforcement Learning. | Jun Feng, Heng Li, Minlie Huang, Shichen Liu, Wenwu Ou, Zhirong Wang, Xiaoyan Zhu |
| 2018 | SIGIR | Chat More: Deepening and Widening the Chatting Topic via A Deep Model. | Wenjie Wang, Minlie Huang, Xin-Shun Xu, Fumin Shen, Liqiang Nie |
| 2017 | AAAI | SSP: Semantic Space Projection for Knowledge Graph Embedding with Text Descriptions. | Han Xiao, Minlie Huang, Lian Meng, Xiaoyan Zhu |
| 2017 | ACL | Linguistically Regularized LSTM for Sentiment Classification. | Qiao Qian, Minlie Huang, Jinhao Lei, Xiaoyan Zhu |
| 2017 | ICTAI | Give me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System. | Daoyi Li, Minlie Huang, Yongfeng Zhang, Xiaoyan Zhu |
| 2016 | AAAI | 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 |
| 2016 | ACL | TransG : A Generative Model for Knowledge Graph Embedding. | Han Xiao, Minlie Huang, Xiaoyan Zhu |
| 2016 | ACL | A Sentence Interaction Network for Modeling Dependence between Sentences. | Biao Liu, Minlie Huang |
| 2016 | COLING | GAKE: Graph Aware Knowledge Embedding. | Jun Feng, Minlie Huang, Yang Yang, Xiaoyan Zhu |
| 2016 | COLING | Product Review Summarization by Exploiting Phrase Properties. | Naitong Yu, Minlie Huang, Yuanyuan Shi, Xiaoyan Zhu |
| 2016 | COLING | Context-aware Natural Language Generation for Spoken Dialogue Systems. | Hao Zhou, Minlie Huang, Xiaoyan Zhu |
| 2016 | EMNLP | Attention-based LSTM for Aspect-level Sentiment Classification. | Yequan Wang, Minlie Huang, Xiaoyan Zhu, Li Zhao |
| 2016 | IJCAI | From One Point to a Manifold: Knowledge Graph Embedding for Precise Link Prediction. | Han Xiao, Minlie Huang, Xiaoyan Zhu |
| 2016 | KR | Knowledge Graph Embedding by Flexible Translation. | Jun Feng, Minlie Huang, Mingdong Wang, Mantong Zhou, Yu Hao, Xiaoyan Zhu |
| 2015 | ACL | Learning Tag Embeddings and Tag-specific Composition Functions in Recursive Neural Network. | Qiao Qian, Bo Tian, Minlie Huang, Yang Liu, Xuan Zhu, Xiaoyan Zhu |
| 2015 | CIKM | Sentiment Extraction by Leveraging Aspect-Opinion Association Structure. | Li Zhao, Minlie Huang, Jiashen Sun, Hengliang Luo, Xiankai Yang, Xiaoyan Zhu |
| 2015 | IJCAI | Incorporating Domain and Sentiment Supervision in Representation Learning for Domain Adaptation. | Biao Liu, Minlie Huang, Jiashen Sun, Xuan Zhu |
| 2014 | ACL | New Word Detection for Sentiment Analysis. | Minlie Huang, Borui Ye, Yichen Wang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu |
| 2014 | CIKM | Ranking Sentiment Explanations for Review Summarization Using Dual Decomposition. | Lei Fang, Qiao Qian, Minlie Huang, Xiaoyan Zhu |
| 2014 | EMNLP | Clustering Aspect-related Phrases by Leveraging Sentiment Distribution Consistency. | Li Zhao, Minlie Huang, Haiqiang Chen, Junjun Cheng, Xiaoyan Zhu |
| 2013 | CIKM | Exploring weakly supervised latent sentiment explanations for aspect-level review analysis. | Lei Fang, Minlie Huang, Xiaoyan Zhu |
| 2012 | AAAI | Using First-Order Logic to Compress Sentences. | Minlie Huang, Xing Shi, Feng Jin, Xiaoyan Zhu |
| 2012 | ACL | Fine Granular Aspect Analysis using Latent Structural Models. | Lei Fang, Minlie Huang |
| 2012 | CIKM | Finding nuggets in IP portfolios: core patent mining through textual temporal analysis. | Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu |
| 2012 | KDD | PatentMiner: topic-driven patent analysis and mining. | Jie Tang, Bo Wang, Yang Yang, Po Hu, Yanting Zhao, Xinyu Yan, Bo Gao, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi |
| 2011 | ICDM | Generating Breakpoint-based Timeline Overview for News Topic Retrospection. | Po Hu, Minlie Huang, Peng Xu, Weichang Li, Adam K. Usadi, Xiaoyan Zhu |
| 2011 | IJCAI | Learning to Identify Review Spam. | Fangtao Li, Minlie Huang, Yi Yang, Xiaoyan Zhu |
| 2011 | IJCNLP | Quality-biased Ranking of Short Texts in Microblogging Services. | Minlie Huang, Yi Yang, Xiaoyan Zhu |
| 2010 | AAAI | Sentiment Analysis with Global Topics and Local Dependency. | Fangtao Li, Minlie Huang, Xiaoyan Zhu |
| 2010 | ACL | Metadata-Aware Measures for Answer Summarization in Community Question Answering. | Mattia Tomasoni, Minlie Huang |
| 2010 | COLING | Learning to Annotate Scientific Publications. | Minlie Huang, Zhiyong Lu |
| 2010 | COLING | A Comparative Study on Ranking and Selection Strategies for Multi-Document Summarization. | Feng Jin, Minlie Huang, Xiaoyan Zhu |
| 2010 | COLING | Structure-Aware Review Mining and Summarization. | Fangtao Li, Chao Han, Minlie Huang, Xiaoyan Zhu, Yingju Xia, Shu Zhang, Hao Yu |
| 2010 | NAACL | Learning to Link Entities with Knowledge Base. | Zhicheng Zheng, Fangtao Li, Minlie Huang, Xiaoyan Zhu |
| 2009 | ACL | Answering Opinion Questions with Random Walks on Graphs. | Fangtao Li, Yang Tang, Minlie Huang, Xiaoyan Zhu |
| 2009 | ICDM | Multi-document Summarization by Information Distance. | Chong Long, Minlie Huang, Xiaoyan Zhu, Ming Li |
| 2008 | ICDM | A Generative Probabilistic Model for Multi-label Classification. | Hongning Wang, Minlie Huang, Xiaoyan Zhu |
| 2007 | APBC | Semi-supervised Pattern Learning for Extracting Relations from Bioscience Texts. | Shilin Ding, Minlie Huang, Xiaoyan Zhu |
| 2007 | PAKDD | Combining Convolution Kernels Defined on Heterogeneous Sub-structures. | Minlie Huang, Xiaoyan Zhu |
| 2006 | APBC | ONBRIRES: Ontology-Based Biological Relation Extraction System. | Minlie Huang, Xiaoyan Zhu, Shilin Ding, Hao Yu, Ming Li |