Xingsheng Han

According to our database, Xingsheng Han authored at least 3 papers in 2026.

Collaborative distances:

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

2026

Parameter Importance is Not Static: Evolving Parameter Isolation for Supervised Fine-Tuning.

Zekai Lin, Chao Xue, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Lei Jiang, Yu Lu, Haibo Shi, Shuang Liang, Minlong Peng

CoRR, April, 2026

Why Supervised Fine-Tuning Fails to Learn: A Systematic Study of Incomplete Learning in Large Language Models.

Chao Xue, Yao Wang, Mengqiao Liu, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Chenyao Lu, Lei Jiang, Yu Lu, Haibo Shi, Shuang Liang, Minlong Peng, Flora D. Salim

CoRR, April, 2026

Reason Only When Needed: Efficient Generative Reward Modeling via Model-Internal Uncertainty.

Chao Xue, Yao Wang, Mengqiao Liu, Di Liang, Xingsheng Han, Peiyang Liu, Xianjie Wu, Chenyao Lu, Lei Jiang, Yu Lu, Haibo Shi, Shuang Liang, Minlong Peng, Flora D. Salim

CoRR, April, 2026