📝 Publications

• General365: Benchmarking General Reasoning in Large Language Models Across Diverse and Challenging Tasks. Preprint, 2026. [Paper] [Project]
  Junlin Liu, Shengnan An, Shuang Zhou, Dan Ma, Shixiong Luo, Ying Xie, Yuan Zhang, Wenling Yuan, Yifan Zhou, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai.

• AMO-Bench: Large Language Models Still Struggle in High School Math Competitions. Findings of ACL 2026. [Paper] [Project]
  Junlin Liu, Shengnan An, Shuang Zhou, Dan Ma, Yehao Lin, Xinxuan Lv, Xuanlin Wang, Xiaoyu Li, Ziwen Wang, Xuezhi Cao, Xunliang Cai.

• WorkThrough-Bench: Benchmarking Agents on Long-Horizon Productivity Work.
  Xin Gao, Jiamu Li, Yuhuai Wei, Zhifeng Li, Weikang Zhang, Shengnan An, Hansi Yang, Hongyan Hao, Zijian Zhang, Mingyang Zhu, Shengyu Guo, Pu Miao, Xuhang Zhu, Linsen Guo, Ziwen Wang, Xiaoyu Li, Xuezhi Cao.

• Make Your LLM Fully Utilize the Context. NeurIPS 2024. [Paper] [Code]
  Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen.

• Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks. Findings of EMNLP 2024. [Paper] [Code]
  Shengnan An, Zexiong Ma, Siqi Cai, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen.

• Learning From Mistakes Makes LLM Better Reasoner. Preprint version of the EMNLP 2024 work. [Paper] [Code]
  Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen.

• Compositional API Recommendation for Library-Oriented Code Generation. ICPC 2024. [Paper]
  Zexiong Ma, Shengnan An, Bing Xie, Zeqi Lin.

• Skill-Based Few-Shot Selection for In-Context Learning. EMNLP 2023. [Paper]
  Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, B. Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou.

• How Do In-Context Examples Affect Compositional Generalization? ACL 2023. [Paper] [Code]
  Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang.

• Does Deep Learning Learn to Abstract? A Systematic Probing Framework. ICLR 2023. [Paper] [Code]
  Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou.

• Learning Algebraic Recombination for Compositional Generalization. Findings of ACL-IJCNLP 2021. [Paper] [Code]
  Chenyao Liu*, Shengnan An*, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang.

• Compositional Generalization by Learning Analytical Expressions. NeurIPS 2020 · Spotlight. [Paper] [Code]
  Qian Liu*, Shengnan An*, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang.

• Enhancing Retrieval-Augmented Generation with Dehallucinating Parallel Context Extension. ICML 2025 Workshop on Long-Context Foundation Models. [Paper]
  Zexiong Ma, Shengnan An, Zeqi Lin, Yanzhen Zou, Jian-Guang Lou, Bing Xie.

• Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation. Preprint, 2024. [Paper]
  Zexiong Ma, Shengnan An, Zeqi Lin, Yanzhen Zou, Jian-Guang Lou, Bing Xie.

• Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. Preprint, 2022. [Paper]
  Shengnan An*, Yifei Li*, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou.

• STAND-Guard: A Small Task-Adaptive Content Moderation Model. COLING 2025. [Paper]
  Minjia Wang, Pingping Lin, Siqi Cai, Shengnan An, Shengjie Ma, Zeqi Lin, Congrui Huang, Bixiong Xu.

* Equal contribution.