| 2025 | ACL | A Silver Bullet or a Compromise for Full Attention? A Comprehensive Study of Gist Token-based Context Compression. | Chenlong Deng, Zhisong Zhang, Kelong Mao, Shuaiyi Li, Xinting Huang, Dong Yu, Zhicheng Dou |
| 2025 | ACL | UniConv: Unifying Retrieval and Response Generation for Large Language Models in Conversations. | Fengran Mo, Yifan Gao, Chuan Meng, Xin Liu, Zhuofeng Wu, Kelong Mao, Zhengyang Wang, Pei Chen, Zheng Li, Xian Li, Bing Yin, Meng Jiang |
| 2025 | KDD | Tackling the Length Barrier: Dynamic Context Browsing for Knowledge-Intensive Task. | Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Yujia Zhou, Xu Chen, Zhicheng Dou |
| 2025 | NAACL | CORAL: Benchmarking Multi-turn Conversational Retrieval-Augmented Generation. | Yiruo Cheng, Kelong Mao, Ziliang Zhao, Guanting Dong, Hongjin Qian, Yongkang Wu, Tetsuya Sakai, Ji-Rong Wen, Zhicheng Dou |
| 2025 | WWW | MemoRAG: Boosting Long Context Processing with Global Memory-Enhanced Retrieval Augmentation. | Hongjin Qian, Zheng Liu, Peitian Zhang, Kelong Mao, Defu Lian, Zhicheng Dou, Tiejun Huang |
| 2024 | ACL | Generalizing Conversational Dense Retrieval via LLM-Cognition Data Augmentation. | Haonan Chen, Zhicheng Dou, Kelong Mao, Jiongnan Liu, Ziliang Zhao |
| 2024 | ACL | Interpreting Conversational Dense Retrieval by Rewriting-Enhanced Inversion of Session Embedding. | Yiruo Cheng, Kelong Mao, Zhicheng Dou |
| 2024 | ACL | An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements. | Chenlong Deng, Zhicheng Dou, Yujia Zhou, Peitian Zhang, Kelong Mao |
| 2024 | ACL | History-Aware Conversational Dense Retrieval. | Fengran Mo, Chen Qu, Kelong Mao, Tianyu Zhu, Zhan Su, Kaiyu Huang, Jian-Yun Nie |
| 2024 | ACL | Grounding Language Model with Chunking-Free In-Context Retrieval. | Hongjin Qian, Zheng Liu, Kelong Mao, Yujia Zhou, Zhicheng Dou |
| 2024 | CIKM | Aligning Query Representation with Rewritten Query and Relevance Judgments in Conversational Search. | Fengran Mo, Chen Qu, Kelong Mao, Yihong Wu, Zhan Su, Kaiyu Huang, Jian-Yun Nie |
| 2024 | EMNLP | Learning Interpretable Legal Case Retrieval via Knowledge-Guided Case Reformulation. | Chenlong Deng, Kelong Mao, Zhicheng Dou |
| 2024 | EMNLP | Enabling Discriminative Reasoning in LLMs for Legal Judgment Prediction. | Chenlong Deng, Kelong Mao, Yuyao Zhang, Zhicheng Dou |
| 2024 | EMNLP | RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment. | Kelong Mao, Zheng Liu, Hongjin Qian, Fengran Mo, Chenlong Deng, Zhicheng Dou |
| 2024 | EMNLP | ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval. | Kelong Mao, Chenlong Deng, Haonan Chen, Fengran Mo, Zheng Liu, Tetsuya Sakai, Zhicheng Dou |
| 2024 | EMNLP | CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search. | Fengran Mo, Abbas Ghaddar, Kelong Mao, Mehdi Rezagholizadeh, Boxing Chen, Qun Liu, Jian-Yun Nie |
| 2024 | WWW | ConvSDG: Session Data Generation for Conversational Search. | Fengran Mo, Bole Yi, Kelong Mao, Chen Qu, Kaiyu Huang, Jian-Yun Nie |
| 2023 | AAAI | FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction. | Kelong Mao, Jieming Zhu, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong |
| 2023 | ACL | Search-Oriented Conversational Query Editing. | Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao |
| 2023 | ACL | ConvGQR: Generative Query Reformulation for Conversational Search. | Fengran Mo, Kelong Mao, Yutao Zhu, Yihong Wu, Kaiyu Huang, Jian-Yun Nie |
| 2023 | EMNLP | Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search. | Kelong Mao, Zhicheng Dou, Fengran Mo, Jiewen Hou, Haonan Chen, Hongjin Qian |
| 2023 | KDD | Learning to Relate to Previous Turns in Conversational Search. | Fengran Mo, Jian-Yun Nie, Kaiyu Huang, Kelong Mao, Yutao Zhu, Peng Li, Yang Liu |
| 2023 | WWW | Learning Denoised and Interpretable Session Representation for Conversational Search. | Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao |
| 2022 | EMNLP | ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. | Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao |
| 2022 | SIGIR | Curriculum Contrastive Context Denoising for Few-shot Conversational Dense Retrieval. | Kelong Mao, Zhicheng Dou, Hongjin Qian |
| 2021 | CIKM | SimpleX: A Simple and Strong Baseline for Collaborative Filtering. | Kelong Mao, Jieming Zhu, Jinpeng Wang, Quanyu Dai, Zhenhua Dong, Xi Xiao, Xiuqiang He |
| 2021 | CIKM | UltraGCN: Ultra Simplification of Graph Convolutional Networks for Recommendation. | Kelong Mao, Jieming Zhu, Xi Xiao, Biao Lu, Zhaowei Wang, Xiuqiang He |
| 2021 | IWQoS | Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification. | Kelong Mao, Xi Xiao, Guangwu Hu, Xiapu Luo, Bin Zhang, Shutao Xia |
| 2020 | SIGIR | Item Tagging for Information Retrieval: A Tripartite Graph Neural Network based Approach. | Kelong Mao, Xi Xiao, Jieming Zhu, Biao Lu, Ruiming Tang, Xiuqiang He |