Shengnan An

Shengnan An

I am a fourth-year Ph.D. candidate working in Xi’an Jiaotong University and Microsoft Research Asia. My research interest is to explore human-like capabilities in large language models, such as systematic generalization, chain-of-thought reasoning, and long-context understanding.

📝 Publications

  • Make Your LLM Fully Utilize the Context. (arXiv) [Paper] [Code]
    Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen.
  • Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation. (under review)
    Zexiong Ma, Shengnan An, Zeqi Lin, Nanning Zheng, Jian-Guang Lou.
  • Learning From Mistakes Makes LLM Better Reasoner. (arXiv) [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.
  • Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. (arXiv) [Paper]
    Shengnan An*, Yifei Li*, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou.
  • Learning Algebraic Recombination for Compositional Generalization. (ACL 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.

📖 Educations

  • 2020.09 - 2025.06, Xi’an Jiaotong University, Ph.D Candidate. Adviser: Prof. Nanning Zheng.
  • 2019.09 - 2025.06, Microsoft Research Asia, Joint Ph.D Program. Adviser: Jian-Guang Lou. Mentor: Zeqi Lin.
  • 2016.09 - 2020.06, Xi’an Jiaotong University, Bachelor’s Degree. Honorable Degree for Qian Xuesen Class (钱学森班).

☀️ Honors and Awards

  • Outstanding Graduate Student (2023)
  • Outstanding Graduate Cadre (2020)
  • Star of Tomorrow in MSRA (2019, 2020)
  • Outstanding Student Cadre (2017, 2018, 2019)
  • First Class Scholarship (2017, 2019)

🌿 Academic Service

Reviewer for: NeurIPS, ICLR, ICML, ACL Rolling Review（ACL, EMNLP, NAACL, EACL）