* equal contribution

• Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
  Xin Xu, Cliveb AI, Kai Yang, Tianhao Chen, Yang Wang, Saiyong Yang, Can Yang

  ICLR 2026 [Paper] [Code] [Models]

• On Predictability of Reinforcement Learning Dynamics for Large Language Models
  Yuchen Cai, Ding Cao, Xin Xu, Zijun Yao, Yuqing Huang, Zhenyu Tan, Benyi Zhang, Guiquan Liu, Junfeng Fang

  ICLR 2026 [Paper] [Code]

• Advancing Multimodal Reasoning Capabilities of Multimodal Large Language Models via Visual Perception Reward
  Tong Xiao, Xin Xu, Zhenya Huang, Hongyu Gao, Quan Liu, Qi Liu, Enhong Chen

  ICLR 2026 [Paper] [Code]

• VerifyBench: Benchmarking Reference-based Reward Systems for Large Language Models
  Yuchen Yan, Jin Jiang, Zhenbang Ren, Yijun Li, Xudong Cai, Yang Liu, Xin Xu, Mengdi Zhang, Jian Shao, Yongliang Shen, Jun Xiao, Yueting Zhuang

  ICLR 2026 [Paper] [Code]

• MathFimer: Enhancing Mathematical Reasoning by Expanding Reasoning Steps through Fill-in-the-Middle Task
  Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Xin Xu, Mengdi Zhang, Jian Shao, Yueting Zhuang

  ICLR 2026 [Paper]

• GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling
  Tianhao Chen*, Xin Xu*, Zijing Liu, Pengxiang Li, Xinyuan Song, Ajay Kumar Jaiswal, Fan Zhang, Jishan Hu, Yang Wang, Hao Chen, Shizhe Diao, Shiwei Liu, Yu Li, Lu Yin, Can Yang

  Neurips 2025 [Paper] [Code]

• Safe: Enhancing Mathematical Reasoning in Large Language Models via Retrospective Step-aware Formal Verification
  Chengwu Liu, Ye Yuan, Yichun Yin, Yan Xu, Xin Xu, Zaoyu Chen, Yasheng Wang, Lifeng Shang, Qun Liu, Ming Zhang

  ACL 2025 main [Paper] [Code]

• UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models
  Xin Xu*, Qiyun Xu*, Tong Xiao, Tianhao Chen, Yuchen Yan, Jiaxin Zhang, Shizhe Diao, Can Yang, Yang Wang

  ICML 2025 [Paper] [Code] [data]

• UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models
  Xin Xu*, Jiaxin Zhang*, Tianhao Chen*, Zitong Chao, Jishan Hu, Can Yang

  ICLR 2025 [Paper] [Code] [data]

• Can LLMs Solve Longer Math Word Problems Better?
  Xin Xu*, Tong Xiao*, Zitong Chao, Zhenya Huang, Can Yang, Yang Wang

  ICLR 2025 [Paper] [Code]

• $S^3$cMath: Spontaneous Step-Level Self-Correction Makes Large Language Models Better Mathematical Reasoners
  Yuchen Yan, Jin Jiang, Yang Liu, Yixin Cao, Xin Xu, Xunliang Cai, Jian Shao

  AAAI 2025 [Paper]

• UCS: A Unified Approach to Cell Segmentation for Subcellular Spatial Transcriptomics
  Yuheng Chen, Xin Xu, Xiaomeng Wan, Jiashun Xiao, Can Yang

  Small Methods (Q1) [Paper]

• Can We Verify Step by Step for Incorrect Answer Detection?
  Xin Xu, Shizhe Diao, Can Yang, Yang Wang

  IJCAI 2025 [Paper] [Code] [data]

Preprints

• Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models
  Xin Xu, Clive Bai, Kai Yang, Tianhao Chen, Yangkun Chen, Weijie Liu, Hao Chen, Yang Wang, Saiyong Yang, Can Yang

  [Paper] [Code] [Datasets & Models]

• ORBIT: On-policy Exploration-Exploitation for Controllable Multi-Budget Reasoning
  Kun Liang, Clive Bai, Xin Xu, Chenming Tang, Sanwoo Lee, Weijie Liu, Saiyong Yang, Yunfang Wu

  [Paper]

• EntroPIC: Towards Stable Long-Term Training of LLMs via Entropy Stabilization with Proportional-Integral Control
  Kai Yang, Xin Xu, Yangkun Chen, Weijie Liu, Jiafei Lyu, Zichuan Lin, Deheng Ye, Saiyong Yang

  [Paper] [Code] [Website]

• Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning
  Xin Xu*, Tianhao Chen*, Fan Zhang, Wanlong Liu, Pengxiang Li, Ajay Kumar Jaiswal, Yuchen Yan, Jishan Hu, Yang Wang, Hao Chen, Shiwei Liu, Shizhe Diao, Can Yang, Lu Yin

  [Paper] [Code]