📝 Publications
- Make Your LLM Fully Utilize the Context. (NeurIPS 2024) [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.
- Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks. (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. (arXiv version of our EMNLP 2024 paper) [Paper]
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen.
- 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
- 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.