Jinyi Han

17 papers A* 2A 1B 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2026 A* conf
Difficulty Is Not Enough: Curriculum Learning for LLMs Fine-tuning Must Consider Utility.
AAAI
Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Xiaojun Meng, Jiansheng Wei, Jiaqing Liang, Yanghua Xiao
2026 J jnl
Not All Negative Samples Are Equal: LLMs Learn Better from Plausible Reasoning.
CoRR
Zixiang Di, Jinyi Han, Shuo Zhang, Ying Liao, Zhi Li, Xiaofeng Ji, Yongqi Wang, Zheming Yang, Ming Gao, Bingdong Li, Jie Wang
2026 J jnl
Structured Reasoning for Large Language Models.
CoRR
Jinyi Han, Zixiang Di, Zishang Jiang, Ying Liao, Jiaqing Liang, Yongqi Wang, Yanghua Xiao
2025 J jnl
A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models.
CoRR
Jinyi Han, Xinyi Wang, Haiquan Zhao, Tingyun Li, Zishang Jiang, Sihang Jiang, Jiaqing Liang, Xin Lin, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao
2025 — conf
CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory.
ACL (Findings)
Haokun Zhao, Jinyi Han, Jiaqing Liang, Yanghua Xiao, Xiaojun Meng, Jiansheng Wei
2025 J jnl
CDS: Data Synthesis Method Guided by Cognitive Diagnosis Theory.
CoRR
Haokun Zhao, Jinyi Han, Jiaqing Liang, Yanghua Xiao
2025 A conf
CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes.
CIKM
Haokun Zhao, Jinyi Han, Jie Shi, Chengyu Du, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu
2025 — conf
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation.
DASFAA (5)
Cairong Yan, Jinyi Han, Jin Ju, Yanting Zhang, Zijian Wang, Xuan Shao
2025 J jnl
CoCoB: Adaptive Collaborative Combinatorial Bandits for Online Recommendation.
CoRR
Cairong Yan, Jinyi Han, Jin Ju, Yanting Zhang, Zijian Wang, Xuan Shao
2025 B conf
DEval: Enhancing Large Language Models' Decoding with Evaluation for Better Generation.
IJCNN
Ziqin Luo, Jinyi Han, Haokun Zhao, Dixuan Wang, Guochao Jiang, Jiaqing Liang, Deqing Yang
2025 — conf
GutUZH at CLEF2025 BioASQ Task 6: a Method of SOTA Performance with the Best Results at GutBrainIE NER Subtask 1.
CLEF (Working Notes)
Jinyi Han, Yeyang Liu
2025 J jnl
HINT: Helping Ineffective Rollouts Navigate Towards Effectiveness.
CoRR
Xinyi Wang, Jinyi Han, Zishang Jiang, Tingyun Li, Jiaqing Liang, Sihang Jiang, Zhaoqian Dai, Shuguang Ma, Fei Yu, Yanghua Xiao
2025 J jnl
Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation.
CoRR
Jinyi Han, Tingyun Li, Shisong Chen, Jie Shi, Xinyi Wang, Guanglei Yue, Jiaqing Liang, Xin Lin, Liqian Wen, Zulong Chen, Yanghua Xiao
2025 J jnl
Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs.
CoRR
Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Jiaqing Liang, Zhaoqian Dai, Shuguang Ma, Fei Yu, Yanghua Xiao
2025 A* conf
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models.
ICLR
Chengyu Du, Jinyi Han, Yizhou Ying, Aili Chen, Qianyu He, Haokun Zhao, Haoran Guo, Sirui Xia, Jiaqing Liang, Zulong Chen, Liangyue Li, Yanghua Xiao
2025 J jnl
Your Models Have Thought Enough: Training Large Reasoning Models to Stop Overthinking.
CoRR
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
2024 J jnl
Think Thrice Before You Act: Progressive Thought Refinement in Large Language Models.
CoRR
Chengyu Du, Jinyi Han, Yizhou Ying, Aili Chen, Qianyu He, Haokun Zhao, Sirui Xia, Haoran Guo, Jiaqing Liang, Zulong Chen, Liangyue Li, Yanghua Xiao