| 2026 | ACL | Learning to Extract Rational Evidence via Reinforcement Learning for Retrieval-Augmented Generation. | Xinping Zhao, Shouzheng Huang, Yan Zhong, Xinshuo Hu, Meishan Zhang, Baotian Hu, Min Zhang |
| 2025 | AAAI | CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. | Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang |
| 2025 | ACL | DAST: Context-Aware Compression in LLMs via Dynamic Allocation of Soft Tokens. | Shaoshen Chen, Yangning Li, Zishan Xu, Yongqin Zeng, Shunlong Wu, Xinshuo Hu, Zifei Shan, Xin Su, Jiwei Tang, Yinghui Li, Hai-Tao Zheng |
| 2025 | NAACL | FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. | Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang |
| 2024 | AAAI | Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. | Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang |
| 2024 | ACL | Improving Attributed Text Generation of Large Language Models via Preference Learning. | Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang |
| 2024 | COLING | Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. | Xinshuo Hu, Dongfang Li, Xiaoguang Li, Yuxiang Wu, Lifeng Shang, Baotian Hu |
| 2024 | EMNLP | TruthReader: Towards Trustworthy Document Assistant Chatbot with Reliable Attribution. | Dongfang Li, Xinshuo Hu, Zetian Sun, Baotian Hu, Shaolin Ye, Zifei Shan, Qian Chen, Min Zhang |
| 2024 | EMNLP | Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. | Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang |
| 2023 | ICASSP | HITSZ TMG at ICASSP 2023 SPGC Shared Task: Leveraging Pre-Training and Distillation Method for Title Generation with Limited Resource. | Tianxiao Xu, Zihao Zheng, Xinshuo Hu, Zetian Sun, Yu Zhao, Baotian Hu |