RUBER: An Unsupervised Method for Automatic Evaluation of Open-Domain Dialog Systems. - Chongyang Tao; Lili Mou; Dongyan Zhao 001; Rui Yan 001 (AAAI, 2018)

Iterative Document Representation Learning Towards Summarization with Polishing. - Xiuying Chen; Shen Gao; Chongyang Tao; Yan Song 003; Dongyan Zhao 001; Rui Yan 001 (EMNLP, 2018)

Playing 20 Question Game with Policy-Based Reinforcement Learning. - Huang Hu; Xianchao Wu; Bingfeng Luo; Chongyang Tao; Can Xu; Wei Wu 014; Zhan Chen (EMNLP, 2018)

Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. - Chongyang Tao; Shen Gao; Mingyue Shang; Wei Wu 014; Dongyan Zhao 001; Rui Yan 001 (IJCAI, 2018)

Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots. - Chongyang Tao; Wei Wu 014; Can Xu; Yansong Feng 002; Dongyan Zhao 001; Rui Yan 001 (CoRR, 2018)

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)

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 014; Can Xu; Wenpeng Hu; Dongyan Zhao 001; Rui Yan 001 (ACL (1), 2019)

Neural Response Generation with Meta-words. - Can Xu; Wei Wu 014; Chongyang Tao; Huang Hu; Matt Schuerman; Ying Wang (ACL (1), 2019)

Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems. - Jia Li 012; Chongyang Tao; Wei Wu 014; Yansong Feng 002; Dongyan Zhao 001; Rui Yan 001 (EMNLP/IJCNLP (1), 2019)

Overcoming Catastrophic Forgetting for Continual Learning via Model Adaptation. - Wenpeng Hu; Zhou Lin; Bing Liu 001; Chongyang Tao; Zhengwei Tao; Jinwen Ma; Dongyan Zhao 001; Rui Yan 001 (ICLR (Poster), 2019)

A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. - Xueliang Zhao; Chongyang Tao; Wei Wu 014; Can Xu; Dongyan Zhao 001; Rui Yan 001 (IJCAI, 2019)

Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examples. - Jia Li 012; Chongyang Tao; Nanyun Peng 001; Wei Wu 014; Dongyan Zhao 001; Rui Yan 001 (NLPCC (1), 2019)

Classification over Clustering: Augmenting Text Representation with Clusters Helps! - Xiaoye Tan; Rui Yan 001; Chongyang Tao; Mingrui Wu (NLPCC (2), 2019)

EnsembleGAN: Adversarial Learning for Retrieval-Generation Ensemble Model on Short-Text Conversation. - Jiayi Zhang; Chongyang Tao; Zhenjing Xu; Qiaojing Xie; Wei Chen; Rui Yan 001 (SIGIR, 2019)

Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. - Chongyang Tao; Wei Wu 014; Can Xu; Wenpeng Hu; Dongyan Zhao 001; Rui Yan 001 (WSDM, 2019)

Mimicking Human Process: Text Representation via Latent Semantic Clustering for Classification. - Xiaoye Tan; Rui Yan 001; Chongyang Tao; Mingrui Wu (CoRR, 2019)

Learning to Detect Relevant Contexts and Knowledge for Response Selection in Retrieval-based Dialogue Systems. - Kai Hua; Zhiyuan Feng; Chongyang Tao; Rui Yan 001; Lu Zhang 023 (CIKM, 2020)

Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. - Xueliang Zhao; Wei Wu 014; Can Xu; Chongyang Tao; Dongyan Zhao 001; Rui Yan 001 (EMNLP (1), 2020)

Low-Resource Knowledge-Grounded Dialogue Generation. - Xueliang Zhao; Wei Wu 014; Chongyang Tao; Can Xu; Dongyan Zhao 001; Rui Yan 001 (ICLR, 2020)

Zero-Resource Knowledge-Grounded Dialogue Generation. - Linxiao Li; Can Xu; Wei Wu 014; Yufan Zhao; Xueliang Zhao; Chongyang Tao (NeurIPS, 2020)

Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection. - Chongyang Tao; Wei Wu 014; Yansong Feng 002; Dongyan Zhao 001; Rui Yan 001 (SIGIR, 2020)

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 001; Rui Yan 001 (AAAI, 2021)

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 (ACL/IJCNLP (1), 2021)

Maria: A Visual Experience Powered Conversational Agent. - Zujie Liang; Huang Hu; Can Xu; Chongyang Tao; Xiubo Geng; Yining Chen; Fan Liang; Daxin Jiang (ACL/IJCNLP (1), 2021)

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)

Learning to Organize a Bag of Words into Sentences with Neural Networks: An Empirical Study. - Chongyang Tao; Shen Gao; Juntao Li; Yansong Feng 002; Dongyan Zhao 001; Rui Yan 001 (NAACL-HLT, 2021)

Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. - Yufei Wang 003; Can Xu; Huang Hu; Chongyang Tao; Stephen Wan 001; Mark Dras; Mark Johnson 001; Daxin Jiang (NeurIPS, 2021)

Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots. - Juntao Li; Chang Liu 076; Chongyang Tao; Zhangming Chan; Dongyan Zhao 001; Min Zhang 005; Rui Yan 001 (CoRR, 2021)

A Benchmarking on Cloud based Speech-To-Text Services for French Speech and Background Noise Effect. - Binbin Xu 004; Chongyang Tao; Zidu Feng; Youssef Raqui; Sylvie Ranwez (CoRR, 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)

Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots. - Juntao Li; Chang Liu 076; Chongyang Tao; Zhangming Chan; Dongyan Zhao 001; Min Zhang 005; Rui Yan 001 (ACM Trans. Inf. Syst., 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)

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. - Yufei Wang 003; Can Xu; Qingfeng Sun; Huang Hu; Chongyang Tao; Xiubo Geng; Daxin Jiang (ACL (1), 2022)

ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation. - Chang Liu 076; Xu Tan 003; Chongyang Tao; Zhenxin Fu; Dongyan Zhao 001; Tie-Yan Liu; Rui Yan 001 (ACL (1), 2022)

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 001 (ACL (1), 2022)

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 (ACL (1), 2022)

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

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 (ACL (Findings), 2022)

SK2: Integrating Implicit Sentiment Knowledge and Explicit Syntax Knowledge for Aspect-Based Sentiment Analysis. - Jia Li 012; Yuyuan Zhao; Zhi Jin; Ge Li 001; Tao Shen 001; Zhengwei Tao; Chongyang Tao (CIKM, 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)

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. - Qiyu Wu 001; Chongyang Tao; Tao Shen 001; Can Xu; Xiubo Geng; Daxin Jiang (EMNLP, 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)

There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning. - Xueliang Zhao; Tingchen Fu; Chongyang Tao; Rui Yan 001 (EMNLP, 2022)

Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation. - Xueliang Zhao; Yuxuan Wang 004; Chongyang Tao; Chenshuo Wang; Dongyan Zhao 001 (EMNLP (Findings), 2022)

Who Says What to Whom: A Survey of Multi-Party Conversations. - Jia-Chen Gu; Chongyang Tao; Zhen-Hua Ling (IJCAI, 2022)

Learning to Express in Knowledge-Grounded Conversation. - Xueliang Zhao; Tingchen Fu; Chongyang Tao; Wei Wu 014; Dongyan Zhao 001; Rui Yan 001 (NAACL-HLT, 2022)

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

Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. - Jia Li 012; Chongyang Tao; Huang Hu; Can Xu; Yining Chen; Daxin Jiang (WSDM, 2022)

UnifieR: A Unified Retriever for Large-Scale Retrieval. - Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Kai Zhang 033; Daxin Jiang (CoRR, 2022)

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP. - Yufei Wang 003; Jiayi Zheng; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Daxin Jiang (CoRR, 2022)

Adam: Dense Retrieval Distillation with Adaptive Dark Examples. - Chang Liu 076; Chongyang Tao; Xiubo Geng; Tao Shen 001; Dongyan Zhao 001; Can Xu; Binxing Jiao; Daxin Jiang (CoRR, 2022)

Fine-Grained Distillation for Long Document Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Guodong Long; Can Xu; Daxin Jiang (CoRR, 2022)

Improving the Robustness of Summarization Systems with Dual Augmentation. - Xiuying Chen; Guodong Long; Chongyang Tao; Mingzhe Li 001; Xin Gao 001; Chengqi Zhang; Xiangliang Zhang 001 (ACL (1), 2023)

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)

UMSE: Unified Multi-scenario Summarization Evaluation. - Shen Gao; Zhitao Yao; Chongyang Tao; Xiuying Chen; Pengjie Ren; Zhaochun Ren; Zhumin Chen (ACL (Findings), 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)

SEAG: Structure-Aware Event Causality Generation. - Zhengwei Tao; Zhi Jin; Xiaoying Bai; Haiyan Zhao 001; Chengfeng Dou; Yongqiang Zhao; Fang Wang 011; Chongyang Tao (ACL (Findings), 2023)

UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning. - Zhengwei Tao; Zhi Jin; Haiyan Zhao 001; Chengfeng Dou; Yongqiang Zhao; Tao Shen 001; Chongyang Tao (ACL (1), 2023)

Towards Robust Ranker for Text Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Guodong Long; Binxing Jiao; Daxin Jiang (ACL (Findings), 2023)

Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. - Xindi Wang 001; Yufei Wang 003; Can Xu; Xiubo Geng; Bowen Zhang; Chongyang Tao; Frank Rudzicz; Robert E. Mercer; Daxin Jiang (ECAI, 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)

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 003; Cong Liu 006 (EMNLP, 2023)

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. - Ziyang Luo; Pu Zhao 004; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICCV, 2023)

LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. - Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Xiaolong Huang; Binxing Jiao; Linjun Yang; Daxin Jiang (ICLR, 2023)

KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. - Yufei Wang 003; Jiayi Zheng; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Daxin Jiang (ICLR, 2023)

HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. - Zefeng Cai; Chongyang Tao; Tao Shen 001; Can Xu; Xiubo Geng; Xin Alex Lin; Liang He 001; Daxin Jiang (ICLR, 2023)

ZC3: Zero-Shot Cross-Language Code Clone Detection. - Jia Li 012; Chongyang Tao; Zhi Jin; Fang Liu 032; Jia Li 011; Ge Li 001 (ASE, 2023)

UnifieR: A Unified Retriever for Large-Scale Retrieval. - Tao Shen 001; Xiubo Geng; Chongyang Tao; Can Xu; Guodong Long; Kai Zhang 033; Daxin Jiang (KDD, 2023)

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

LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. - Kai Zhang 033; Chongyang Tao; Tao Shen 001; Can Xu; Xiubo Geng; Binxing Jiao; Daxin Jiang (WWW, 2023)

LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. - Ziyang Luo; Pu Zhao 004; Can Xu; Xiubo Geng; Tao Shen 001; Chongyang Tao; Jing Ma 004; Qingwen Lin; Daxin Jiang (CoRR, 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)

Large Language Models are Strong Zero-Shot Retriever. - Tao Shen 001; Guodong Long; Xiubo Geng; Chongyang Tao; Tianyi Zhou 001; Daxin Jiang (CoRR, 2023)

Augmented Large Language Models with Parametric Knowledge Guiding. - Ziyang Luo; Can Xu; Pu Zhao 004; Xiubo Geng; Chongyang Tao; Jing Ma 004; Qingwei Lin; 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)

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 003; Cong Liu 006; Guoping Hu (CoRR, 2023)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. - Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao 004; Jianguang Lou; Chongyang Tao; Xiubo Geng; Qingwei Lin; Shifeng Chen; Dongmei Zhang 001 (CoRR, 2023)

ZC3: Zero-Shot Cross-Language Code Clone Detection. - Jia Li 012; Chongyang Tao; Zhi Jin; Fang Liu 032; Jia Li 011; Ge Li 001 (CoRR, 2023)

Re-Reading Improves Reasoning in Language Models. - Xiaohan Xu; Chongyang Tao; Tao Shen 001; Can Xu; Hongbo Xu; Guodong Long; Jianguang Lou (CoRR, 2023)

Large Language Model-Aware In-Context Learning for Code Generation. - Jia Li 012; Ge Li 001; Chongyang Tao; Jia Li 011; Huangzhao Zhang; Fang Liu 032; Zhi Jin (CoRR, 2023)

Thread of Thought Unraveling Chaotic Contexts. - Yucheng Zhou 001; Xiubo Geng; Tao Shen 001; Chongyang Tao; Guodong Long; Jian-Guang Lou; Jianbing Shen (CoRR, 2023)

Good Questions Help Zero-Shot Image Reasoning. - Kaiwen Yang; Tao Shen 001; Xinmei Tian 001; Xiubo Geng; Chongyang Tao; Dacheng Tao; Tianyi Zhou 001 (CoRR, 2023)

A Trend of AI Conference Convergence in Similarity: An Empirical Study Through Trans-Temporal Heterogeneous Graph. - Shen Gao; Haotong Zhang 001; Xiuying Chen; Chongyang Tao; Dongyan Zhao 001; Rui Yan 001 (IEEE Trans. Knowl. Data Eng., 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)

Fine-Grained Distillation for Long Document Retrieval. - Yucheng Zhou 001; Tao Shen 001; Xiubo Geng; Chongyang Tao; Jianbing Shen; Guodong Long; Can Xu; Daxin Jiang (AAAI, 2024)

Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. - Tao Shen 001; Guodong Long; Xiubo Geng; Chongyang Tao; Yibin Lei; Tianyi Zhou 001; Michael Blumenstein; Daxin Jiang (ACL (Findings), 2024)

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)

Meta-Task Prompting Elicits Embeddings from Large Language Models. - Yibin Lei; Di Wu; Tianyi Zhou 001; Tao Shen 001; Yu Cao 014; Chongyang Tao; Andrew Yates (ACL (1), 2024)

MEEL: Multi-Modal Event Evolution Learning. - Zhengwei Tao; Zhi Jin; Junqiang Huang; Xiancai Chen; Xiaoying Bai; Yifan Zhang; Chongyang Tao (ACL (Findings), 2024)

ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. - Chongyang Tao; Chang Liu 076; Tao Shen 001; Can Xu; Xiubo Geng; Binxing Jiao; Daxin Jiang (ACL (Findings), 2024)

Multi-Grained Conversational Graph Network for Retrieval-based Dialogue Systems. - Quan Tu; Chongyang Tao; Rui Yan 001 (LREC/COLING, 2024)

Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. - Yiyuan Yang; Guodong Long; Michael Blumenstein; Xiubo Geng; Chongyang Tao; Tao Shen 001; Daxin Jiang (LREC/COLING, 2024)

CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification. - Yang Li 154; Canran Xu; Guodong Long; Tao Shen 001; Chongyang Tao; Jing Jiang 002 (EACL (1), 2024)

Leveraging Large Language Models for NLG Evaluation: Advances and Challenges. - Zhen Li 048; Xiaohan Xu; Tao Shen 001; Can Xu; Jia-Chen Gu; Yuxuan Lai; Chongyang Tao; Shuai Ma 001 (EMNLP, 2024)

Re-Reading Improves Reasoning in Large Language Models. - Xiaohan Xu; Chongyang Tao; Tao Shen 001; Can Xu; Hongbo Xu; Guodong Long; Jian-Guang Lou; Shuai Ma 001 (EMNLP, 2024)

WizardCoder: Empowering Code Large Language Models with Evol-Instruct. - Ziyang Luo; Can Xu; Pu Zhao 004; Qingfeng Sun; Xiubo Geng; Wenxiang Hu; Chongyang Tao; Jing Ma 004; Qingwei Lin; Daxin Jiang (ICLR, 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)

Leveraging Large Language Models for NLG Evaluation: A Survey. - Zhen Li 048; Xiaohan Xu; Tao Shen 001; Can Xu; Jia-Chen Gu; Chongyang Tao (CoRR, 2024)

A Survey on Knowledge Distillation of Large Language Models. - Xiaohan Xu; Ming Li; Chongyang Tao; Tao Shen 001; Reynold Cheng; Jinyang Li 003; Can Xu; Dacheng Tao; Tianyi Zhou 001 (CoRR, 2024)

Meta-Task Prompting Elicits Embedding from Large Language Models. - Yibin Lei; Di Wu; Tianyi Zhou 001; Tao Shen 001; Yu Cao 014; Chongyang Tao; Andrew Yates (CoRR, 2024)

MEEL: Multi-Modal Event Evolution Learning. - Zhengwei Tao; Zhi Jin; Junqiang Huang; Xiancai Chen; Xiaoying Bai; Haiyan Zhao 001; Yifan Zhang 004; Chongyang Tao (CoRR, 2024)

A Comprehensive Evaluation on Event Reasoning of Large Language Models. - Zhengwei Tao; Zhi Jin; Yifan Zhang 004; Xiancai Chen; Xiaoying Bai; Yue Fang; Haiyan Zhao 001; Jia Li 003; Chongyang Tao (CoRR, 2024)

LLMs are Also Effective Embedding Models: An In-depth Overview. - Chongyang Tao; Tao Shen; Shen Gao; Junshuo Zhang; Zhen Li; Zhengwei Tao; Shuai Ma (CoRR, 2024)

A Comprehensive Evaluation on Event Reasoning of Large Language Models. - Zhengwei Tao; Zhi Jin; Yifan Zhang 004; Xiancai Chen; Haiyan Zhao 001; Jia Li 003; Bin Liang 004; Chongyang Tao; Qun Liu 001; Kam-Fai Wong (AAAI, 2025)

Benchmarking Long-Context Language Models on Long Code Understanding. - Jia Li; Xuyuan Guo; Lei Li; Kechi Zhang; Ge Li; Zhengwei Tao; Fang Liu; Chongyang Tao; Yuqi Zhu; Zhi Jin (ACL (1), 2025)

WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. - Haipeng Luo; Qingfeng Sun; Can Xu; Pu Zhao 004; Jian-Guang Lou; Chongyang Tao; Xiubo Geng; Qingwei Lin; Shifeng Chen; Yansong Tang; Dongmei Zhang 001 (ICLR, 2025)

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)

Semi-Supervised Anomaly Detection through Denoising-Aware Contrastive Distance Learning. - Jianling Gao; Chongyang Tao; Zhenchao Sun; Xiya Jiang; Shuai Ma 001 (WWW, 2025)

Unified Multi-Scenario Summarization Evaluation and Explanation. - Shuo Shang; Zhitao Yao; Hao Fu; Chongyang Tao; Xiuying Chen; Feng Wang 023; Yongbo Wang; Zhaochun Ren; Shen Gao (IEEE Trans. Knowl. Data Eng., 2025)

LONGCODEU: Benchmarking Long-Context Language Models on Long Code Understanding. - Jia Li; Xuyuan Guo; Lei Li; Kechi Zhang; Ge Li 001; Jia Li; Zhengwei Tao; Fang Liu 032; Chongyang Tao; Yuqi Zhu; Zhi Jin (CoRR, 2025)

PROPHET: An Inferable Future Forecasting Benchmark with Causal Intervened Likelihood Estimation. - Zhengwei Tao; Zhi Jin; Bincheng Li; Xiaoying Bai; Haiyan Zhao 001; Chengfeng Dou; Xiancai Chen; Jia Li 003; Linyu Li 001; Chongyang Tao (CoRR, 2025)

CodeRAG: Supportive Code Retrieval on Bigraph for Real-World Code Generation. - Jia Li 011; Xianjie Shi; Kechi Zhang; Lei Li; Ge Li 001; Zhengwei Tao; Jia Li 012; Fang Liu 032; Chongyang Tao; Zhi Jin (CoRR, 2025)

Large Language Model-Aware In-Context Learning for Code Generation. - Jia Li 012; Chongyang Tao; Jia Li Male; Ge Li 001; Zhi Jin; Huangzhao Zhang; Zheng Fang; Fang Liu 032 (ACM Trans. Softw. Eng. Methodol., 2025)