Fei Mi

According to our database, Fei Mi authored at least 69 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

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

CoRR, 2024

Mixture of insighTful Experts (MoTE): The Synergy of Thought 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

CoRR, 2024

YODA: Teacher-Student Progressive Learning for Language Models.

Jianqiao Lu, Wanjun Zhong, Yufei Wang, Zhijiang Guo, Qi Zhu, Wenyong Huang, Yanlin Wang, Fei Mi, Baojun Wang, Yasheng Wang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2024

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems.

Hongru Wang, Wenyu Huang, Yang Deng, Rui Wang, Zezhong Wang, Yufei Wang, Fei Mi, Jeff Z. Pan, Kam-Fai Wong

CoRR, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Defending Large Language Models Against Jailbreaking Attacks Through Goal Prioritization.

Zhexin Zhang, Junxiao Yang, Pei Ke, Fei Mi, Hongning Wang, Minlie Huang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Dynamic Stochastic Decoding Strategy for Open-Domain Dialogue Generation.

Yiwei Li, Fei Mi, Yitong Li, Yasheng Wang, Bin Sun, Shaoxiong Feng, Kan Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Data Management For Large Language Models: A Survey.

Zige Wang, Wanjun Zhong, Yufei Wang, Qi Zhu, Fei Mi, Baojun Wang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

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

CoRR, 2023

Large Language Models as Source Planner for Personalized Knowledge-grounded Dialogue.

Hongru Wang, Minda Hu, Yang Deng, Rui Wang, Fei Mi, Weichao Wang, Yasheng Wang, Wai-Chung Kwan, Irwin King, Kam-Fai Wong

CoRR, 2023

SELF: Language-Driven Self-Evolution for Large Language Model.

Jianqiao Lu, Wanjun Zhong, Wenyong Huang, Yufei Wang, Fei Mi, Baojun Wang, Weichao Wang, Lifeng Shang, Qun Liu

CoRR, 2023

TPE: Towards Better Compositional Reasoning over Conceptual Tools with Multi-persona Collaboration.

Hongru Wang, Huimin Wang, Lingzhi Wang, Minda Hu, Rui Wang, Boyang Xue, Hongyuan Lu, Fei Mi, Kam-Fai Wong

CoRR, 2023

Aligning Large Language Models with Human: A Survey.

Yufei Wang, Wanjun Zhong, Liangyou Li, Fei Mi, Xingshan Zeng, Wenyong Huang, Lifeng Shang, Xin Jiang, Qun Liu

CoRR, 2023

Self-Critique Prompting with Large Language Models for Inductive Instructions.

Rui Wang, Hongru Wang, Fei Mi, Yi Chen, Ruifeng Xu, Kam-Fai Wong

CoRR, 2023

Chain-of-thought prompting for responding to in-depth dialogue questions with LLM.

Hongru Wang, Rui Wang, Fei Mi, Zezhong Wang, Ruifeng Xu, Kam-Fai Wong

CoRR, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

ReSee: Responding through Seeing Fine-grained Visual Knowledge in Open-domain Dialogue.

Haoqin Tu, Yitong Li, Fei Mi, Zhongliang Yang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DecompEval: Evaluating Generated Texts as Unsupervised Decomposed Question Answering.

Pei Ke, Fei Huang, Fei Mi, Yasheng Wang, Qun Liu, Xiaoyan Zhu, Minlie Huang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Synthetic Data Generation Framework for Grounded Dialogues.

Jianzhu Bao, Rui Wang, Yasheng Wang, Aixin Sun, Yitong Li, Fei Mi, Ruifeng Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MoralDial: A Framework to Train and Evaluate Moral Dialogue Systems via Constructing Moral Discussions.

Hao Sun, Zhexin Zhang, Fei Mi, Yasheng Wang, Wei Liu, Jianwei Cui, Bin Wang, Qun Liu, Minlie Huang

CoRR, 2022

Exploring Effective Information Utilization in Multi-Turn Topic-Driven Conversations.

Jiatong Li, Bin He, Fei Mi

CoRR, 2022

PANGUBOT: Efficient Generative Dialogue Pre-training from Pre-trained Language Model.

Fei Mi, Yitong Li, Yulong Zeng, Jingyan Zhou, Yasheng Wang, Chuanfei Xu, Lifeng Shang, Xin Jiang, Shiqi Zhao, Qun Liu

CoRR, 2022

Towards Identifying Social Bias in Dialog Systems: Frame, Datasets, and Benchmarks.

Jingyan Zhou, Jiawen Deng, Fei Mi, Yitong Li, Yasheng Wang, Minlie Huang, Xin Jiang, Qun Liu, Helen Meng

CoRR, 2022

COLD: A Benchmark for Chinese Offensive Language Detection.

Jiawen Deng, Jingyan Zhou, Hao Sun, Fei Mi, Minlie Huang

CoRR, 2022

Overview of NLPCC 2022 Shared Task 7: Fine-Grained Dialogue Social Bias Measurement.

Jingyan Zhou, Fei Mi, Helen Meng, Jiawen Deng

Proceedings of the Natural Language Processing and Chinese Computing, 2022

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 Schütze

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Slim: Explicit Slot-Intent Mapping with Bert for Joint Multi-Intent Detection and Slot Filling.

Fengyu Cai, Wanhao Zhou, Fei Mi, Boi Faltings

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

COLD: A Benchmark for Chinese Offensive Language Detection.

Jiawen Deng, Jingyan Zhou, Hao Sun, Chujie Zheng, Fei Mi, Helen Meng, Minlie Huang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

AEG: Argumentative Essay Generation via A Dual-Decoder Model with Content Planning.

Jianzhu Bao, Yasheng Wang, Yitong Li, Fei Mi, Ruifeng Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

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

Proceedings of the 29th International Conference on Computational Linguistics, 2022

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

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Continual Prompt Tuning for Dialog State Tracking.

Qi Zhu, Bing Li, Fei Mi, Xiaoyan Zhu, Minlie Huang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

UniDS: A Unified Dialogue System for Chit-Chat and Task-oriented Dialogues.

Xinyan Zhao, Bin He, Yasheng Wang, Yitong Li, Fei Mi, Yajiao Liu, Xin Jiang, Qun Liu, Huanhuan Chen

Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering, 2022

CINS: Comprehensive Instruction for Few-Shot Learning in Task-Oriented Dialog Systems.

Fei Mi, Yasheng Wang, Yitong Li

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Lifelong Machine Learning with Data Efficiency and Knowledge Retention.

Fei Mi

PhD thesis, 2021

LMTurk: Few-Shot Learners as Crowdsourcing Workers.

Mengjie Zhao, Fei Mi, Yasheng Wang, Minglei Li, Xin Jiang, Qun Liu, Hinrich Schütze

CoRR, 2021

CINS: Comprehensive Instruction for Few-shot Learning in Task-oriented Dialog Systems.

Fei Mi, Yitong Li, Yasheng Wang, Xin Jiang, Qun Liu

CoRR, 2021

Representation Memorization for Fast Learning New Knowledge without Forgetting.

Fei Mi, Tao Lin, Boi Faltings

CoRR, 2021

CLSEBERT: Contrastive Learning for Syntax Enhanced Code Pre-Trained Model.

Xin Wang, Yasheng Wang, Pingyi Zhou, Fei Mi, Meng Xiao, Yadao Wang, Li Li, Xiao Liu, Hao Wu, Jin Liu, Xin Jiang

CoRR, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation.

Fei Mi, Xiaoyu Lin, Boi Faltings

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Memory Augmented Neural Model for Incremental Session-based Recommendation.

Fei Mi, Boi Faltings

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Masking as an Efficient Alternative to Finetuning for Pretrained Language Models.

Mengjie Zhao, Tao Lin, Fei Mi, Martin Jaggi, Hinrich Schütze

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Continual Learning for Natural Language Generation in Task-oriented Dialog Systems.

Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Generalized Class Incremental Learning.

Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems.

Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

Context Tree for Adaptive Session-based Recommendation.

Fei Mi, Boi Faltings

CoRR, 2018

2017

Personalization in Goal-Oriented Dialog.

Chaitanya K. Joshi, Fei Mi, Boi Faltings

CoRR, 2017

Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees.

Fei Mi, Boi Faltings

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

Adaptive Sequential Recommendation Using Context Trees.

Fei Mi, Boi Faltings

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015

Probabilistic Graphical Models for Boosting Cardinal and Ordinal Peer Grading in MOOCs.

Fei Mi, Dit-Yan Yeung

Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2012

L-priorities bloom filter: A new member of the bloom filter family.

Huangshui Hu, Hongwei Zhao, Fei Mi

Int. J. Autom. Comput., 2012