Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems. - Jiazhan Feng; Chongyang Tao; Wei Wu 014; Yansong Feng 002; Dongyan Zhao 001; Rui Yan 001 (ACL (1), 2019)

A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations. - Chongyang Tao; Changyu Chen; Jiazhan Feng; Ji-Rong Wen; Rui Yan 001 (ACL/IJCNLP (1), 2021)

A Survey on Response Selection for Retrieval-based Dialogues. - Chongyang Tao; Jiazhan Feng; Rui Yan 001; Wei Wu 014; Daxin Jiang (IJCAI, 2021)

Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning. - Chongyang Tao; Jiazhan Feng; Chang Liu 076; Juntao Li; Xiubo Geng; Daxin Jiang (CoRR, 2021)

Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues. - Ruijian Xu; Chongyang Tao; Jiazhan Feng; Wei Wu 014; Rui Yan 001; Dongyan Zhao 001 (ACM Trans. Inf. Syst., 2021)

Multi-Granularity Structural Knowledge Distillation for Language Model Compression. - Chang Liu 076; Chongyang Tao; Jiazhan Feng; Dongyan Zhao 001 (ACL (1), 2022)

Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations. - Jiazhan Feng; Chongyang Tao; Zhen Li 048; Chang Liu 076; Tao Shen 001; Dongyan Zhao 001 (COLING, 2022)

How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection. - Jiazhan Feng; Chongyang Tao; Chang Liu 076; Rui Yan 001; Dongyan Zhao 001 (EMNLP (Findings), 2022)

Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook. - Chang Liu 076; Chongyang Tao; Jianxin Liang; Tao Shen 001; Jiazhan Feng; Quzhe Huang; Dongyan Zhao 001 (EMNLP, 2022)

Training Two-Stage Knowledge-Grounded Dialogues with Attention Feedback. - Zhen Li 048; Jiazhan Feng; Chongyang Tao; Dongyan Zhao 001 (NLPCC (1), 2022)

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. - Jiazhan Feng; Qingfeng Sun; Can Xu; Pu Zhao 004; Yaming Yang 001; Chongyang Tao; Dongyan Zhao 001; Qingwei Lin (ACL (1), 2023)

FAA: Fine-grained Attention Alignment for Cascade Document Ranking. - Zhen Li 048; Chongyang Tao; Jiazhan Feng; Tao Shen 001; Dongyan Zhao 001; Xiubo Geng; Daxin Jiang (ACL (1), 2023)

Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination. - Jianxin Liang; Chang Liu 076; Chongyang Tao; Jiazhan Feng; Dongyan Zhao 001 (ACL (Findings), 2023)

CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. - Chongyang Tao; Jiazhan Feng; Tao Shen 001; Chang Liu 076; Juntao Li; Xiubo Geng; Daxin Jiang (ACL (1), 2023)

Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning. - Chang Liu 076; Chongyang Tao; Jianxin Liang; Jiazhan Feng; Tao Shen 001; Quzhe Huang; Dongyan Zhao 001 (EMNLP (Findings), 2023)

Dimension-Prompts Boost Commonsense Consolidation. - Jiazhan Feng; Chongyang Tao; Tao Shen 001; Chang Liu 076; Dongyan Zhao 001 (SIGIR, 2023)

WizardLM: Empowering Large Language Models to Follow Complex Instructions. - Can Xu; Qingfeng Sun; Kai Zheng 021; Xiubo Geng; Pu Zhao 004; Jiazhan Feng; Chongyang Tao; Daxin Jiang (CoRR, 2023)

Knowledge Refinement via Interaction Between Search Engines and Large Language Models. - Jiazhan Feng; Chongyang Tao; Xiubo Geng; Tao Shen 001; Can Xu; Guodong Long; Dongyan Zhao 001; Daxin Jiang (CoRR, 2023)

Teaching Text-to-Image Models to Communicate. - Xiaowen Sun; Jiazhan Feng; Yuxuan Wang 004; Yuxuan Lai; Xingyu Shen; Dongyan Zhao 001 (CoRR, 2023)

Language Models can be Logical Solvers. - Jiazhan Feng; Ruochen Xu; Junheng Hao; Hiteshi Sharma; Yelong Shen; Dongyan Zhao 001; Weizhu Chen (CoRR, 2023)

A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models. - Hejing Cao; Zhenwei An; Jiazhan Feng; Kun Xu 005; Liwei Chen; Dongyan Zhao 001 (CoRR, 2023)

Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation. - Jiazhan Feng; Chongyang Tao; Xueliang Zhao; Dongyan Zhao 001 (ACM Trans. Inf. Syst., 2023)

Synergistic Interplay between Search and Large Language Models for Information Retrieval. - Jiazhan Feng; Chongyang Tao; Xiubo Geng; Tao Shen 001; Can Xu; Guodong Long; Dongyan Zhao 001; Daxin Jiang (ACL (1), 2024)

WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. - Can Xu; Qingfeng Sun; Kai Zheng 021; Xiubo Geng; Pu Zhao 004; Jiazhan Feng; Chongyang Tao; Qingwei Lin; Daxin Jiang (ICLR, 2024)

Language Models can be Deductive Solvers. - Jiazhan Feng; Ruochen Xu; Junheng Hao; Hiteshi Sharma; Yelong Shen; Dongyan Zhao 001; Weizhu Chen (NAACL-HLT (Findings), 2024)

RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match. - Zhen Li 048; Xinchi Li; Chongyang Tao; Jiazhan Feng; Tao Shen 001; Can Xu; Hao Wang 132; Dongyan Zhao 001; Shuai Ma 001 (WSDM, 2025)

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs. - Jiazhan Feng; Shijue Huang; Xingwei Qu; Ge Zhang 009; Yujia Qin; Baoquan Zhong; Chengquan Jiang; Jinxin Chi; Wanjun Zhong (CoRR, 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

AdaCtrl: Towards Adaptive and Controllable Reasoning via Difficulty-Aware Budgeting. - Shijue Huang; Hongru Wang 003; Wanjun Zhong; Zhaochen Su; Jiazhan Feng; Bowen Cao; Yi R. (May) Fung (CoRR, 2025)