MSDF: A General Open-Domain Multi-skill Dialog Framework. - Yu Zhao 043; Xinshuo Hu; Yunxin Li; Baotian Hu; Dongfang Li 002; Sichao Chen; Xiaolong Wang 001 (NLPCC (2), 2021)

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 043; Baotian Hu (ICASSP, 2023)

A Survey of Large Language Models Attribution. - Dongfang Li 002; Zetian Sun; Xinshuo Hu; Zhenyu Liu; Ziyang Chen; Baotian Hu; Aiguo Wu 001; Min Zhang 005 (CoRR, 2023)

Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. - Xinshuo Hu; Dongfang Li 002; Baotian Hu; Zihao Zheng; Zhenyu Liu; Min Zhang 005 (AAAI, 2024)

Improving Attributed Text Generation of Large Language Models via Preference Learning. - Dongfang Li 002; Zetian Sun; Baotian Hu; Zhenyu Liu; Xinshuo Hu; Xuebo Liu 002; Min Zhang 005 (ACL (Findings), 2024)

Does the Generator Mind Its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. - Xinshuo Hu; Dongfang Li 002; Xiaoguang Li; Yuxiang Wu; Lifeng Shang; Baotian Hu (LREC/COLING, 2024)

Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. - Zhenyu Liu; Dongfang Li 002; Xinshuo Hu; Xinping Zhao; Yibin Chen; Baotian Hu; Min Zhang 005 (EMNLP, 2024)

In-Context Learning State Vector with Inner and Momentum Optimization. - Dongfang Li 002; Zhenyu Liu; Xinshuo Hu; Zetian Sun; Baotian Hu; Min Zhang 005 (NeurIPS, 2024)

Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer. - Xinshuo Hu; Baotian Hu; Dongfang Li 002; Xiaoguang Li; Lifeng Shang (CoRR, 2024)

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. - Dongfang Li 002; Zetian Sun; Xinshuo Hu; Baotian Hu; Min Zhang 005 (AAAI, 2025)

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 002 (ACL (Findings), 2025)

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. - Xinping Zhao; Yan Zhong; Zetian Sun; Xinshuo Hu; Zhenyu Liu; Dongfang Li 002; Baotian Hu; Min Zhang 005 (NAACL (Findings), 2025)

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. - Xinshuo Hu; Zifei Shan; Xinping Zhao; Zetian Sun; Zhenyu Liu; Dongfang Li 002; Shaolin Ye; Xinyuan Wei; Qian Chen 003; Baotian Hu; Haofen Wang; Jun Yu; et al. (CoRR, 2025)

KaLM-Embedding-V2: Superior Training Techniques and Data Inspire A Versatile Embedding Model. - Xinping Zhao; Xinshuo Hu; Zifei Shan; Shouzheng Huang; Yao Zhou; Zetian Sun; Zhenyu Liu; Dongfang Li 002; Xinyuan Wei; Qian Chen 003; Youcheng Pan; Yang Xiang 003; et al. (CoRR, 2025)

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 005 (CoRR, 2025)