Compositional Generalization by Learning Analytical Expressions. - Qian Liu; Shengnan An; Jian-Guang Lou; Bei Chen; Zeqi Lin; Yan Gao 002; Bin Zhou; Nanning Zheng 001; Dongmei Zhang 001 (NeurIPS, 2020)

Learning Algebraic Recombination for Compositional Generalization. - Chenyao Liu; Shengnan An; Zeqi Lin; Qian Liu; Bei Chen; Jian-Guang Lou; Lijie Wen 001; Nanning Zheng 001; Dongmei Zhang 001 (ACL/IJCNLP (Findings), 2021)

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. - Shengnan An; Yifei Li 005; Zeqi Lin; Qian Liu; Bei Chen; Qiang Fu 015; Weizhu Chen; Nanning Zheng 001; Jian-Guang Lou (CoRR, 2022)

How Do In-Context Examples Affect Compositional Generalization? - Shengnan An; Zeqi Lin; Qiang Fu 015; Bei Chen; Nanning Zheng 001; Jian-Guang Lou; Dongmei Zhang 001 (ACL (1), 2023)

Skill-Based Few-Shot Selection for In-Context Learning. - Shengnan An; Bo Zhou; Zeqi Lin; Qiang Fu 015; Bei Chen; Nanning Zheng 001; Weizhu Chen; Jian-Guang Lou (EMNLP, 2023)

Does Deep Learning Learn to Abstract? A Systematic Probing Framework. - Shengnan An; Zeqi Lin; Bei Chen; Qiang Fu 015; Nanning Zheng 001; Jian-Guang Lou (ICLR, 2023)

Learning From Mistakes Makes LLM Better Reasoner. - Shengnan An; Zexiong Ma; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou; Weizhu Chen (CoRR, 2023)

Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks. - Shengnan An; Zexiong Ma; Siqi Cai; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou; Weizhu Chen (EMNLP (Findings), 2024)

Compositional API Recommendation for Library-Oriented Code Generation. - Zexiong Ma; Shengnan An; Bing Xie; Zeqi Lin (ICPC, 2024)

Make Your LLM Fully Utilize the Context. - Shengnan An; Zexiong Ma; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou; Weizhu Chen (NeurIPS, 2024)

Make Your LLM Fully Utilize the Context. - Shengnan An; Zexiong Ma; Zeqi Lin; Nanning Zheng 001; Jian-Guang Lou (CoRR, 2024)

Dehallucinating Parallel Context Extension for Retrieval-Augmented Generation. - Zexiong Ma; Shengnan An; Zeqi Lin; Yanzhen Zou; Jian-Guang Lou; Bing Xie (CoRR, 2024)

Repository Structure-Aware Training Makes SLMs Better Issue Resolver. - Zexiong Ma; Shengnan An; Zeqi Lin; Yanzhen Zou; Bing Xie (CoRR, 2024)

STAND-Guard: A Small Task-Adaptive Content Moderation Model. - Minjia Wang; Pingping Lin; Siqi Cai; Shengnan An; Shengjie Ma; Zeqi Lin; Congrui Huang; Bixiong Xu (COLING (Industry), 2025)