Xinshuo Hu

According to our database, Xinshuo Hu authored at least 15 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, July, 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, Xinyuan Wei, Qian Chen, Youcheng Pan, Yang Xiang, Meishan Zhang, Haofen Wang, Jun Yu, Baotian Hu, Min Zhang

CoRR, June, 2025

KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model.

Xinshuo Hu, Zifei Shan, Xinping Zhao, Zetian Sun, Zhenyu Liu, Dongfang Li, Shaolin Ye, Xinyuan Wei, Qian Chen, Baotian Hu, Haofen Wang, Jun Yu, Min Zhang

CoRR, January, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2025

CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models.

Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Does the Generator Mind its Contexts? An Analysis of Generative Model Faithfulness under Context Transfer.

Xinshuo Hu, Baotian Hu, Dongfang Li, Xiaoguang Li, Lifeng Shang

CoRR, 2024

In-Context Learning State Vector with Inner and Momentum Optimization.

Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

A Survey of Large Language Models Attribution.

Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang

CoRR, 2023

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

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

MSDF: A General Open-Domain Multi-skill Dialog Framework.

Yu Zhao, Xinshuo Hu, Yunxin Li, Baotian Hu, Dongfang Li, Sichao Chen, Xiaolong Wang

Proceedings of the Natural Language Processing and Chinese Computing, 2021