Jinyi Han

According to our database, Jinyi Han authored at least 16 papers between 2025 and 2026.

Collaborative distances:

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

2026

GenericAgent: A Token-Efficient Self-Evolving LLM Agent via Contextual Information Density Maximization (V1.0).

Jiaqing Liang, Jinyi Han, Weijia Li, Xinyi Wang, Zhoujia Zhang, Zishang Jiang, Ying Liao, Tingyun Li, Ying Huang, Hao Shen, Hanyu Wu, Fang Guo, Keyi Wang, Zhonghua Hong, Zhiyu Lu, Lipeng Ma, Sihang Jiang, Yanghua Xiao

CoRR, April, 2026

Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning.

Zixiang Di, Jinyi Han, Shuo Zhang, Ying Liao, Zhi Li, Xiaofeng Ji, Yongqi Wang, Zheming Yang, Ming Gao, Bingdong Li, Jie Wang

CoRR, February, 2026

Structured Reasoning for Large Language Models.

Jinyi Han, Zixiang Di, Zishang Jiang, Ying Liao, Jiaqing Liang, Yongqi Wang, Yanghua Xiao

CoRR, January, 2026

Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility.

Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Xiaojun Meng, Jiansheng Wei, Jiaqing Liang, Yanghua Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness.

Xinyi Wang, Jinyi Han, Zishang Jiang, Tingyun Li, Jiaqing Liang, Sihang Jiang, Zhaoqian Dai, Shuguang Ma, Fei Yu, Yanghua Xiao

CoRR, October, 2025

Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs.

Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Jiaqing Liang, Zhaoqian Dai, Shuguang Ma, Fei Yu, Yanghua Xiao

CoRR, October, 2025

Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking.

Jinyi Han, Ying Huang, Ying Liao, Zishang Jiang, Xikun Lu, Haiquan Zhao, Xinyi Wang, Guanghao Zhou, Sihang Jiang, Jiaqing Liang, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

CoRR, September, 2025

A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models.

Jinyi Han, Xinyi Wang, Haiquan Zhao, Tingyun Li, Zishang Jiang, Sihang Jiang, Jiaqing Liang, Xin Lin, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao

CoRR, August, 2025

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation.

Jinyi Han, Tingyun Li, Shisong Chen, Jie Shi, Xinyi Wang, Guanglei Yue, Jiaqing Liang, Xin Lin, Liqian Wen, Zulong Chen, Yanghua Xiao

CoRR, August, 2025

CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory.

Haokun Zhao, Jinyi Han, Jiaqing Liang, Yanghua Xiao

CoRR, January, 2025

DEval: Enhancing Large Language Models' Decoding with Evaluation for Better Generation.

Ziqin Luo, Jinyi Han, Haokun Zhao, Dixuan Wang, Guochao Jiang, Jiaqing Liang, Deqing Yang

Proceedings of the International Joint Conference on Neural Networks, 2025

Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models.

Chengyu Du, Jinyi Han, Yizhou Ying, Aili Chen, Qianyu He, Haokun Zhao, Haoran Guo, Sirui Xia, Jiaqing Liang, Zulong Chen, Liangyue Li, Yanghua Xiao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation.

Cairong Yan, Jinyi Han, Jin Ju, Yanting Zhang, Zijian Wang, Xuan Shao

Proceedings of the Database Systems for Advanced Applications, 2025

GutUZH at CLEF2025 BioASQ Task 6: a Method of SOTA Performance with the Best Results at GutBrainIE NER Subtask 1.

Jinyi Han, Yeyang Liu

Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum, 2025

CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes.

Haokun Zhao, Jinyi Han, Jie Shi, Chengyu Du, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory.

Haokun Zhao, Jinyi Han, Jiaqing Liang, Yanghua Xiao, Xiaojun Meng, Jiansheng Wei

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