| 2026 | ACL | FACTrial: Factorized Clinical Contrastive Training for Scalable Patient-Trial Retrieval. | Xuanren Chen, Chongyang Tao, Tao Shen, Shuai Ma |
| 2026 | ACL | CodeMEM: AST-Guided Adaptive Memory for Repository-Level Iterative Code Generation. | Peiding Wang, Li Zhang, Fang Liu, Chongyang Tao, Yinghao Zhu |
| 2026 | ACL | Breaking Block Boundaries: Anchor-based History-stable Decoding for Diffusion Large Language Models. | Shun Zou, Yong Wang, Zehui Chen, Lin Chen, Chongyang Tao, Feng Zhao, Xiangxiang Chu |
| 2026 | KSEM | Dynamic Curriculum Learning over Difficulty Heterogeneity for Text-to-SQL. | Xiaoqi Zhang, Chongyang Tao, Shihao Xing, Zhengao Chen, Shuai Ma |
| 2025 | AAAI | A Comprehensive Evaluation on Event Reasoning of Large Language Models. | Zhengwei Tao, Zhi Jin, Yifan Zhang, Xiancai Chen, Haiyan Zhao, Jia Li, Bin Liang, Chongyang Tao, Qun Liu, Kam-Fai Wong |
| 2025 | ACL | Benchmarking Long-Context Language Models on Long Code Understanding. | Jia Li, Xuyuan Guo, Lei Li, Kechi Zhang, Ge Li, Jia Li, Zhengwei Tao, Fang Liu, Chongyang Tao, Yuqi Zhu, Zhi Jin |
| 2025 | ICLR | WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. | Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang |
| 2025 | WWW | Semi-Supervised Anomaly Detection through Denoising-Aware Contrastive Distance Learning. | Jianling Gao, Chongyang Tao, Zhenchao Sun, Xiya Jiang, Shuai Ma |
| 2025 | WSDM | RetriEVAL: Evaluating Text Generation with Contextualized Lexical Match. | Zhen Li, Xinchi Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Can Xu, Hao Wang, Dongyan Zhao, Shuai Ma |
| 2024 | AAAI | Fine-Grained Distillation for Long Document Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang |
| 2024 | ACL | Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. | Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang |
| 2024 | ACL | Synergistic Interplay between Search and Large Language Models for Information Retrieval. | Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang |
| 2024 | ACL | Meta-Task Prompting Elicits Embeddings from Large Language Models. | Yibin Lei, Di Wu, Tianyi Zhou, Tao Shen, Yu Cao, Chongyang Tao, Andrew Yates |
| 2024 | ACL | MEEL: Multi-Modal Event Evolution Learning. | Zhengwei Tao, Zhi Jin, Junqiang Huang, Xiancai Chen, Xiaoying Bai, Yifan Zhang, Chongyang Tao |
| 2024 | ACL | ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. | Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2024 | COLING | Multi-Grained Conversational Graph Network for Retrieval-based Dialogue Systems. | Quan Tu, Chongyang Tao, Rui Yan |
| 2024 | COLING | Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. | Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang |
| 2024 | EACL | CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification. | Yang Li, Canran Xu, Guodong Long, Tao Shen, Chongyang Tao, Jing Jiang |
| 2024 | EMNLP | Leveraging Large Language Models for NLG Evaluation: Advances and Challenges. | Zhen Li, Xiaohan Xu, Tao Shen, Can Xu, Jia-Chen Gu, Yuxuan Lai, Chongyang Tao, Shuai Ma |
| 2024 | EMNLP | Re-Reading Improves Reasoning in Large Language Models. | Xiaohan Xu, Chongyang Tao, Tao Shen, Can Xu, Hongbo Xu, Guodong Long, Jian-Guang Lou, Shuai Ma |
| 2024 | ICLR | WizardCoder: Empowering Code Large Language Models with Evol-Instruct. | Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2024 | ICLR | WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. | Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang |
| 2023 | ACL | Improving the Robustness of Summarization Systems with Dual Augmentation. | Xiuying Chen, Guodong Long, Chongyang Tao, Mingzhe Li, Xin Gao, Chengqi Zhang, Xiangliang Zhang |
| 2023 | ACL | MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. | Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin |
| 2023 | ACL | UMSE: Unified Multi-scenario Summarization Evaluation. | Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen |
| 2023 | ACL | Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination. | Jianxin Liang, Chang Liu, Chongyang Tao, Jiazhan Feng, Dongyan Zhao |
| 2023 | ACL | FAA: Fine-grained Attention Alignment for Cascade Document Ranking. | Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng, Daxin Jiang |
| 2023 | ACL | CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. | Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang |
| 2023 | ACL | SEAG: Structure-Aware Event Causality Generation. | Zhengwei Tao, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Chengfeng Dou, Yongqiang Zhao, Fang Wang, Chongyang Tao |
| 2023 | ACL | UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning. | Zhengwei Tao, Zhi Jin, Haiyan Zhao, Chengfeng Dou, Yongqiang Zhao, Tao Shen, Chongyang Tao |
| 2023 | ACL | Towards Robust Ranker for Text Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang |
| 2023 | ECAI | Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. | Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang |
| 2023 | EMNLP | Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning. | Chang Liu, Chongyang Tao, Jianxin Liang, Jiazhan Feng, Tao Shen, Quzhe Huang, Dongyan Zhao |
| 2023 | EMNLP | MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. | Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu |
| 2023 | ICCV | LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. | Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2023 | ICLR | LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. | Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang |
| 2023 | ICLR | KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. | Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang |
| 2023 | ICLR | HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. | Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang |
| 2023 | KDD | UnifieR: A Unified Retriever for Large-Scale Retrieval. | Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang |
| 2023 | WWW | LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. | Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2023 | SIGIR | Dimension-Prompts Boost Commonsense Consolidation. | Jiazhan Feng, Chongyang Tao, Tao Shen, Chang Liu, Dongyan Zhao |
| 2022 | ACL | PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. | Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation. | Chang Liu, Xu Tan, Chongyang Tao, Zhenxin Fu, Dongyan Zhao, Tie-Yan Liu, Rui Yan |
| 2022 | ACL | There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. | Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan |
| 2022 | ACL | HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. | Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | Multi-Granularity Structural Knowledge Distillation for Language Model Compression. | Chang Liu, Chongyang Tao, Jiazhan Feng, Dongyan Zhao |
| 2022 | ACL | TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. | Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang |
| 2022 | CIKM | SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. | Jia Li, Yuyuan Zhao, Zhi Jin, Ge Li, Tao Shen, Zhengwei Tao, Chongyang Tao |
| 2022 | COLING | Reciprocal Learning of Knowledge Retriever and Response Ranker for Knowledge-Grounded Conversations. | Jiazhan Feng, Chongyang Tao, Zhen Li, Chang Liu, Tao Shen, Dongyan Zhao |
| 2022 | EMNLP | PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. | Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang |
| 2022 | EMNLP | How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection. | Jiazhan Feng, Chongyang Tao, Chang Liu, Rui Yan, Dongyan Zhao |
| 2022 | EMNLP | Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook. | Chang Liu, Chongyang Tao, Jianxin Liang, Tao Shen, Jiazhan Feng, Quzhe Huang, Dongyan Zhao |
| 2022 | EMNLP | There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning. | Xueliang Zhao, Tingchen Fu, Chongyang Tao, Rui Yan |
| 2022 | EMNLP | Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation. | Xueliang Zhao, Yuxuan Wang, Chongyang Tao, Chenshuo Wang, Dongyan Zhao |
| 2022 | IJCAI | Who Says What to Whom: A Survey of Multi-Party Conversations. | Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling |
| 2022 | NAACL | Learning to Express in Knowledge-Grounded Conversation. | Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan |
| 2022 | WSDM | Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. | Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang |
| 2021 | AAAI | Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. | Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan |
| 2021 | ACL | MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. | Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang |
| 2021 | ACL | Maria: A Visual Experience Powered Conversational Agent. | Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang |
| 2021 | ACL | A Pre-training Strategy for Zero-Resource Response Selection in Knowledge-Grounded Conversations. | Chongyang Tao, Changyu Chen, Jiazhan Feng, Ji-Rong Wen, Rui Yan |
| 2021 | IJCAI | A Survey on Response Selection for Retrieval-based Dialogues. | Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang |
| 2021 | NAACL | Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study. | Chongyang Tao, Shen Gao, Juntao Li, Yansong Feng, Dongyan Zhao, Rui Yan |
| 2020 | CIKM | Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems. | Kai Hua, Zhiyuan Feng, Chongyang Tao, Rui Yan, Lu Zhang |
| 2020 | EMNLP | Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. | Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan |
| 2020 | ICLR | Low-Resource Knowledge-Grounded Dialogue Generation. | Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan |
| 2020 | SIGIR | Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection. | Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan |
| 2019 | ACL | Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems. | Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan |
| 2019 | ACL | One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues. | Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
| 2019 | ACL | Neural Response Generation with Meta-words. | Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang |
| 2019 | EMNLP | Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems. | Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan |
| 2019 | ICLR | Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. | Wenpeng Hu, Zhou Lin, Bing Liu, Chongyang Tao, Zhengwei Tao, Jinwen Ma, Dongyan Zhao, Rui Yan |
| 2019 | IJCAI | A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. | Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan |
| 2019 | SIGIR | EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation. | Jiayi Zhang, Chongyang Tao, Zhenjing Xu, Qiaojing Xie, Wei Chen, Rui Yan |
| 2019 | WSDM | Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. | Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan |
| 2018 | AAAI | RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. | Chongyang Tao, Lili Mou, Dongyan Zhao, Rui Yan |
| 2018 | EMNLP | Iterative Document Representation Learning Towards Summarization with Polishing. | Xiuying Chen, Shen Gao, Chongyang Tao, Yan Song, Dongyan Zhao, Rui Yan |
| 2018 | EMNLP | Playing 20 Question Game with Policy-Based Reinforcement Learning. | Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen |
| 2018 | IJCAI | Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. | Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan |