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)

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)

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)

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)

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)

Improving Value-based Process Verifier via Structural Prior Injection. - Zetian Sun; Dongfang Li 002; Baotian Hu; Jun Yu; Min Zhang 005 (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)