Your Benchmark Is an Empirical Measure Over Difficulty

Yifan Sun^†, Naicheng Yu^†, Jiawen Gong^†, Jingyan Shen, Huan Zhang

NeurIPS · 2026

Understanding Reasoning from Pretraining to Post-Training

Jingyan Shen^†, Ang Li^†, Salman Rahman, Yifan Sun, Micah Goldblum, Matus Telgarsky, Pavel Izmailov

NeurIPS · 2026

When Reasoning Meets Its Laws

Junyu Zhang^†, Yifan Sun^†, Tianang Leng^†, Jingyan Shen^†, Ziyin Liu, Paul Pu Liang, Huan Zhang

NeurIPS · 2026

Improving Data Efficiency for LLM Reinforcement Fine-Tuning Through Difficulty-targeted Online Data Selection and Rollout Replay

Yifan Sun^†, Jingyan Shen^†, Yibin Wang^†, Tianyu Chen, Zhendong Wang, Mingyuan Zhou, Huan Zhang

NeurIPS · 2025

MiCRo: Mixture Modeling and Context-aware Routing for Personalized Preference Learning

Jingyan Shen^†, Jiarui Yao^†, Rui Yang^†, Yifan Sun, Feng Luo, Rui Pan, Tong Zhang, Han Zhao

EMNLP (Main Conference) · 2025

Outstanding Paper Award (7 selected out of 8,174 submissions)

AutoScale: Scale-Aware Data Mixing for Pre-Training LLMs

Feiyang Kang^†, Yifan Sun^†, Bingbing Wen, Si Chen, Dawn Song, Rafid Mahmood, Ruoxi Jia

COLM · 2025

The Emperor’s New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination

Yifan Sun^†, Han Wang^†, Dongbai Li^†, Gang Wang, Huan Zhang

ICML · 2025