| 2026 | AAAI | EssayBench: Evaluating Large Language Models in Multi-Genre Chinese Essay Writing. | Fan Gao, Dongyuan Li, Ding Xia, Fei Mi, Yasheng Wang, Lifeng Shang, Baojun Wang |
| 2026 | ACL | Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning. | Bowen Ding, Yuhan Chen, Jiayang Lyu, Jiyao Yuan, Qi Zhu, Shuangshuang Tian, Dantong Zhu, Futing Wang, Heyuan Deng, Fei Mi, Lifeng Shang, Tao Lin |
| 2026 | ACL | Improved Policy Optimization for Mixture-of-Experts Models: Importance Sampling and Rewarding from an Expert-Centric Perspective. | Yining Qian, Jinpeng Li, Fei Mi, Lifeng Shang, Xiang Zhang |
| 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 |
| 2025 | ACL | Mixture of insighTful Experts (MoTE): The Synergy of Reasoning Chains and Expert Mixtures in Self-Alignment. | Zhili Liu, Yunhao Gou, Kai Chen, Lanqing Hong, Jiahui Gao, Fei Mi, Yu Zhang, Zhenguo Li, Xin Jiang, Qun Liu, James T. Kwok |
| 2025 | ACL | UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models. | Boyang Xue, Fei Mi, Qi Zhu, Hongru Wang, Rui Wang, Sheng Wang, Erxin Yu, Xuming Hu, Kam-Fai Wong |
| 2025 | ACL | Self-Error-Instruct: Generalizing from Errors for LLMs Mathematical Reasoning. | Erxin Yu, Jing Li, Ming Liao, Qi Zhu, Boyang Xue, Minghui Xu, Baojun Wang, Lanqing Hong, Fei Mi, Lifeng Shang |
| 2025 | EMNLP | ClusterUCB: Efficient Gradient-Based Data Selection for Targeted Fine-Tuning of LLMs. | Zige Wang, Qi Zhu, Fei Mi, Minghui Xu, Ruochun Jin, Wenjing Yang |
| 2024 | ACL | FollowBench: A Multi-level Fine-grained Constraints Following Benchmark for Large Language Models. | Yuxin Jiang, Yufei Wang, Xingshan Zeng, Wanjun Zhong, Liangyou Li, Fei Mi, Lifeng Shang, Xin Jiang, Qun Liu, Wei Wang |
| 2024 | ACL | Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation. | Yiwei Li, Fei Mi, Yitong Li, Yasheng Wang, Bin Sun, Shaoxiong Feng, Kan Li |
| 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 | UniRetriever: Multi-task Candidates Selection for Various Context-Adaptive Conversational Retrieval. | Hongru Wang, Boyang Xue, Baohang Zhou, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Kam-Fai Wong |
| 2024 | EMNLP | CoSafe: Evaluating Large Language Model Safety in Multi-Turn Dialogue Coreference. | Erxin Yu, Jing Li, Ming Liao, Siqi Wang, Zuchen Gao, Fei Mi, Lanqing Hong |
| 2024 | ICLR | Gaining Wisdom from Setbacks: Aligning Large Language Models via Mistake Analysis. | Kai Chen, Chunwei Wang, Kuo Yang, Jianhua Han, Lanqing Hong, Fei Mi, Hang Xu, Zhengying Liu, Wenyong Huang, Zhenguo Li, Dit-Yan Yeung, Lifeng Shang, Xin Jiang, Qun Liu |
| 2024 | NAACL | Enhancing Large Language Models Against Inductive Instructions with Dual-critique Prompting. | Rui Wang, Hongru Wang, Fei Mi, Boyang Xue, Yi Chen, Kam-Fai Wong, Ruifeng Xu |
| 2024 | NAACL | Role Prompting Guided Domain Adaptation with General Capability Preserve for Large Language Models. | Rui Wang, Fei Mi, Yi Chen, Boyang Xue, Hongru Wang, Qi Zhu, Kam-Fai Wong, Ruifeng Xu |
| 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 | Towards Diverse, Relevant and Coherent Open-Domain Dialogue Generation via Hybrid Latent Variables. | Bin Sun, Yitong Li, Fei Mi, Weichao Wang, Yiwei Li, Kan Li |
| 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 | A Synthetic Data Generation Framework for Grounded Dialogues. | Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu |
| 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 | One Cannot Stand for Everyone! Leveraging Multiple User Simulators to train Task-oriented Dialogue Systems. | Yajiao Liu, Xin Jiang, Yichun Yin, Yasheng Wang, Fei Mi, Qun Liu, Xiang Wan, Benyou Wang |
| 2023 | ACL | Towards Fewer Hallucinations in Knowledge-Grounded Dialogue Generation via Augmentative and Contrastive Knowledge-Dialogue. | Bin Sun, Yitong Li, Fei Mi, Fanhu Bie, Yiwei Li, Kan Li |
| 2023 | ACL | Retrieval-free Knowledge Injection through Multi-Document Traversal for Dialogue Models. | Rui Wang, Jianzhu Bao, Fei Mi, Yi Chen, Hongru Wang, Yasheng Wang, Yitong Li, Lifeng Shang, Kam-Fai Wong, Ruifeng Xu |
| 2023 | EMNLP | Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogues. | Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong |
| 2023 | EMNLP | Cue-CoT: Chain-of-thought Prompting for Responding to In-depth Dialogue Questions with LLMs. | Hongru Wang, Rui Wang, Fei Mi, Yang Deng, Zezhong Wang, Bin Liang, Ruifeng Xu, Kam-Fai Wong |
| 2023 | EMNLP | ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue. | Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang |
| 2023 | EMNLP | Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment. | Boyang Xue, Weichao Wang, Hongru Wang, Fei Mi, Rui Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu, Kam-Fai Wong |
| 2023 | ICASSP | History, Present and Future: Enhancing Dialogue Generation with Few-Shot History-Future Prompt. | Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Jin Liu, Xin Jiang, Qun Liu |
| 2022 | AAAI | CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems. | Fei Mi, Yasheng Wang, Yitong Li |
| 2022 | ACL | Continual Prompt Tuning for Dialog State Tracking. | Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, Minlie Huang |
| 2022 | ACL | Compilable Neural Code Generation with Compiler Feedback. | Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu |
| 2022 | COLING | Pan More Gold from the Sand: Refining Open-domain Dialogue Training with Noisy Self-Retrieval Generation. | Yihe Wang, Yitong Li, Yasheng Wang, Fei Mi, Pingyi Zhou, Xin Wang, Jin Liu, Xin Jiang, Qun Liu |
| 2022 | EMNLP | AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning. | Jianzhu Bao, Yasheng Wang, Yitong Li, Fei Mi, Ruifeng Xu |
| 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 | Modeling Complex Dialogue Mappings via Sentence Semantic Segmentation Guided Conditional Variational Auto-Encoder. | Bin Sun, Shaoxiong Feng, Yiwei Li, Weichao Wang, Fei Mi, Yitong Li, Kan Li |
| 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 | 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 | ICASSP | Slim: Explicit Slot-Intent Mapping with Bert for Joint Multi-Intent Detection and Slot Filling. | Fengyu Cai, Wanhao Zhou, Fei Mi, Boi Faltings |
| 2022 | NAACL | LMTurk: Few-Shot Learners as Crowdsourcing Workers in a Language-Model-as-a-Service Framework. | Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schtze |
| 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 |
| 2020 | CVPR | Generalized Class Incremental Learning. | Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings |
| 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 | Masking as an Efficient Alternative to Finetuning for Pretrained Language Models. | Mengjie Zhao, Tao Lin, Fei Mi, Martin Jaggi, Hinrich Schtze |
| 2020 | IJCAI | Memory Augmented Neural Model for Incremental Session-based Recommendation. | Fei Mi, Boi Faltings |
| 2020 | RecSys | ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. | Fei Mi, Xiaoyu Lin, Boi Faltings |
| 2019 | IJCAI | Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. | Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings |
| 2017 | EDM | Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees. | Fei Mi, Boi Faltings |
| 2016 | IJCAI | Adaptive Sequential Recommendation Using Context Trees. | Fei Mi, Boi Faltings |
| 2015 | AAAI | Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs. | Fei Mi, Dit-Yan Yeung |