Reliable Use of Lemmas via Eligibility Reasoning and Section−Aware Reinforcement Learning
Zhikun Xu, Xiaodong Yu, Ben Zhou, Jiang Liu, Jialian Wu, Ze Wang, Ximeng Sun, Hao Chen, Zicheng Liu
Under review in arXiv, 2026
Publications
You can also find my articles on my Google Scholar profile.
*Equal Contribution; †Corresponding Author/Mentor.
Preprints
Unbiased Visual Reasoning with Controlled Visual Inputs
Zhaonan Li*, Shijie Lu*, Fei Wang, Jacob Dineen, Xiao Ye, Zhikun Xu, Siyi Liu, Young Min Cho, Bangzheng Li, Daniel Chang, Kenny Nguyen, Qizheng Yang, Muhao Chen, Ben Zhou
Under review in arXiv, 2025
Evaluating Medical LLMs by Levels of Autonomy: A Survey Moving from Benchmarks to Applications
Xiao Ye, Jacob Dineen, Zhaonan Li, Zhikun Xu, Weiyu Chen, Shijie Lu, Yuxi Huang, Ming Shen, Phu Tran, Ji-Eun Irene Yum, Muhammad Ali Khan, Muhammad Umar Afzal, Irbaz Bin Riaz, Ben Zhou
Under review in arXiv, 2025
RELATE-Sim: Leveraging Turning Point Theory and LLM Agents to Predict and Understand Long-Term Relationship Dynamics through Interactive Narrative Simulations
Matthew Yue, Zhikun Xu†, Vivek Gupta, Thao Ha, Liesal Sharabi, Ben Zhou
Under review in arXiv, 2025
CC-LEARN: Cohort-based Consistency Learning
Xiao Ye, Shaswat Shrivastava, Zhaonan Li, Jacob Dineen, Shijie Lu, Avneet Ahuja, Ming Shen, Zhikun Xu, Ben Zhou
Under review in arXiv, 2025
BOW: Bottlenecked Next Word Exploration
Ming Shen*, Zhikun Xu*, Jacob Dineen, Xiao Ye, Ben Zhou
Under review in arXiv, 2025
Conference Papers
CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning
Zijun Gao, Zhikun Xu†, Xiao Ye, Ben Zhou
Published in International Conference on Learning Representations (ICLR), 2026
Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
Jiayi Kuang, Haojing Huang, Yinghui Li, Xinnian Liang, Zhikun Xu, Yangning Li, Xiaoyu Tan, Chao Qu, Meishan Zhang, Ying Shen, Philip S Yu
Published in Neural Information Processing Systems (NeurIPS), 2025
QA-LIGN: Aligning LLMs through Constitutionally Decomposed QA
Jacob Dineen, Aswin RRV, Qin Liu, Zhikun Xu, Xiao Ye, Ming Shen, Zhaonan Li, Shijie Lu, Chitta Baral, Muhao Chen, Ben Zhou
Published in Findings of Empirical Methods in Natural Language Processing (EMNLP), 2025
VISUAL-ALPHASOCIAL: Benchmark and Self-Reflective Chain-of-Thought Generation for Visual Social Commonsense Reasoning
Zongyu Lin*, Zhikun Xu*, Xiaohan Song*, Yixin Wan, Xingcheng Yao, Tsung-Han Lin, Selina Song, Pranav Subbaraman, Ben Zhou, Kai-Wei Chang, Yizhou Sun
Published in Findings of Association for Computational Linguistics (ACL), 2025
One Example Shown, Many Concepts Known! Counterexample-Driven Conceptual Reasoning in Mathematical LLMs
Yinghui Li*, Jiayi Kuang*, Haojing Huang*, Zhikun Xu*†, Xinnian Liang, Yi Yu, Wenlian Lu, Yangning Li, Xiaoyu Tan, Chao Qu, Ying Shen, Hai-Tao Zheng, Philip S. Yu
Published in International Conference on Machine Learning (ICML), 2025
ToW: Thoughts of Words Improve Reasoning in Large Language Models
Zhikun Xu*, Ming Shen*, Jacob Dineen, Zhaonan Li, Xiao Ye, Shijie Lu, Aswin RRV, Chitta Baral, Ben Zhou
Published in Main Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025
Let LLMs Take on the Latest Challenges! A Chinese Dynamic Question Answering Benchmark
Zhikun Xu*, Yinghui Li*, Ruixue Ding, Xinyu Wang, Boli Chen, Yong Jiang, Hai-Tao Zheng, Wenlian Lu, Pengjun Xie, Fei Huang
Published in International Conference on Computational Linguistics (COLING), 2025
Evaluating Open-QA Evaluation
Cunxiang Wang*, Sirui Cheng*, Qipeng Guo, Zhikun Xu, Bowen Ding, Yunhao Yun, Yidong Wang, Xiangkun Hu, Zheng Zhang and Yue Zhang
Published in Datasets and Benchmarks Track, Neural Information Processing Systems (NeurIPS), 2023
Exploiting Abstract Meaning Representation for Open-Domain Question Answering
Cunxiang Wang, Zhikun Xu, Qipeng Guo, Xiangkun Hu, Xuefeng Bai, Zheng Zhang, Yue Zhang
Published in Findings of Association for Computational Linguistics (ACL), 2023