2023

• Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Daxin Jiang. LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. In Proceeding of the International Conference on Computer Vision (ICCV 2023), 2023.08. [Code]
• Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang. UnifieR: A Unified Retriever for Large-Scale Retrieval. In Proceeding of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD 2023), 2023.07. [Code]
• Chongyang Tao, Tao Shen, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang. CoRe: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.7.
• Zhen Li⁺, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng and Daxin Jiang. FAA: Fine-grained Attention Alignment for Cascade Document Ranking. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.7.
• Xiuyin Chen⁺, Guodong Long, Chongyang Tao^#, Xing Gao, Chengqi Zhang, Xiangliang Zhang. Improving the Robustness of Summarization Systems with Dual Augmentation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.7. [Code]
• Jiazhan Feng⁺, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Li. MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.7. [Dataset]
• Zhengwei Tao, Zhi Jin, Haiyan Zhao, Chengfeng Dou, Yongqiang Zhao, Tao Shen,Chongyang Tao. UniEvent: Unified Generative Model with Multi-Dimensional Prefix for Zero-Shot Event-Relational Reasoning. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.7.
• Zhengwei Tao, Zhi Jin, Xiaoying Bai, Haiyan Zhao, Fang Wang, Chengfeng Dou, Yongqiang Zhao, Chongyang Tao. SEAG: Structure-Aware Event Causality Generation. In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.7.
• Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang. Towards Robust Ranker for Text Retrieval. In Findings of the Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2023), Toronto, Canada, 2023.7.
• Jianxin Liang, Chang Liu, Chongyang Tao, Jiazhan Feng and Dongyan Zhao. Attend, Select and Eliminate: Accelerating Multi-turn Response Selection with Dual-attention-based Content Elimination. In Findings of the Annual Meeting of the Association for Computational Linguistics (ACL 2023), Toronto, Canada, 2023.7.
• Chang Liu, Chongyang Tao, Jianxin Liang, Jiazhan Feng, Tao Shen, Quzhe Huang, Dongyan Zhao. Length-Adaptive Distillation: Customizing Small Language Model for Dynamic Token Pruning. In Findings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Toronto, Canada, 2023.7.
• Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu. MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP 2023), Toronto, Canada, 2023.7.
• Jiazhan Feng, Chongyang Tao, Tao Shen, Chang Liu, Dongyan Zhao. D2KM: Dimension-Disentangled Knowledge Model for Commonsense Graph Construction. In Proceedings of the International World Wide Web Conference (SIGIR 2023), 2023.01. [Code]
• Kai Zhang⁺, Chongyang Tao^#, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang. LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. In Proceedings of the International World Wide Web Conference (WWW 2023), 2023.01. [Code]
• Zefeng Cai⁺, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, and Daxin Jiang. HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. In Proceedings of the International Conference on Learning Representations (ICLR 2023), 2023.01. [Code]
• Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang. LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. In Proceedings of the International Conference on Learning Representations (ICLR 2023), 2023.01. [Code]
• Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang. KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP. In Proceedings of the International Conference on Learning Representations (ICLR 2023), 2023.01. [Code]
• Jiazhan Feng⁺, Chongyang Tao^#, Xueliang Zhao, Rui Yan, Dongyan Zhao. Learning Multi-turn Response Selection in Grounded Dialogues with Reinforced Knowledge and Context Distillation. In ACM Transactions on Information Systems, Volume 41, Issue 4, Article No.115. (TOIS 2023), 2023.4.

2022

• Qiyu Wu⁺, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang. PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022.11. [Code]
• Chang Liu⁺, Chongyang Tao^#, Jianxin Liang, Tao Shen, Jiazhan Feng, Quzhe Huang, Dongyan Zhao. Rethinking Task-Specific Knowledge Distillation: Contextualized Corpus as Better Textbook. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022.11
• Jiazhan Feng, Chongyang Tao, Chang Liu, Rui Yan, Dongyan Zhao. How to Represent Context Better? An Empirical Study on Context Modeling for Multi-turn Response Selection. In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022.11
• Tingchen Fu*, Xueliang Zhao*, Chongyang Tao, Rui Yan, Ji-Rong Wen. There Is No Standard Answer: Knowledge-Grounded Dialogue Generation with Adversarial Activated Multi-Reference Learning. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022.11
• Xueliang Zhao, Yuxuan Wang, Chongyang Tao, Chenshuo Wang, Dongyan Zhao. Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation. In Findings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 2022), 2022.11
• Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan. Learning to Express in Knowledge-Grounded Conversation. In Proceedings of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2022), Seattle, Washington, 2022.7
• Jia-chen Gu⁺, Chongyang Tao, Zhen-Hua Ling. Who Says What to Whom: A Survey of Multi-Party Conversations. In Proceedings of the 31th International Joint Conference on Artificial Intelligence (IJCAI 2022), Vienna, Austria, 2022.7
• Jia-Chen Gu⁺, Chao-Hong Tan⁺, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang. HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 2022.5. [Code]
• Chang Liu, Chongyang Tao^#, Jiazhan Feng, Dongyan Zhao. Multi-Granularity Structural Knowledge Distillation for Language Model Compression. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 2022.5. [Code]
• Chang Liu, Xu Tan, Chongyang Tao, Zhenxin Fu, Dongyan Zhao, Tie-Yan Liu, Rui Yan. ProphetChat: Enhancing Dialogue Generation with Simulation of Future Conversation. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 2022.5
• Tingchen Fu*, Xueliang Zhao*, Chongyang Tao, Ji-Rong Wen, Rui Yan. There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 2022.5
• Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang. Prompt-based Data Augmentation for Low-Resource NLU Tasks. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022), Dublin, Ireland, 2022.5 [Code]
• Chao-Hong Tan⁺, Jia-Chen Gu⁺, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang. TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL 2022 Findings), Dublin, Ireland, 2022.5. [Code]
• Jia Li⁺, Chongyang Tao, Huang Hu, Can Xu, Yining Chen and Daxin Jiang. Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. In Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining (WSDM 2022), Phoenix, Arizona, 2022.2