Shengnan An

According to our database, Shengnan An authored at least 14 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

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

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Repository Structure-Aware Training Makes SLMs Better Issue Resolver.

Zexiong Ma, Shengnan An, Zeqi Lin, Yanzhen Zou, Bing Xie

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

Make Your LLM Fully Utilize the Context.

Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou

CoRR, 2024

Make Your LLM Fully Utilize the Context.

Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Compositional API Recommendation for Library-Oriented Code Generation.

Zexiong Ma, Shengnan An, Bing Xie, Zeqi Lin

Proceedings of the 32nd IEEE/ACM International Conference on Program Comprehension, 2024

Can LLMs Learn From Mistakes? An Empirical Study on Reasoning Tasks.

Shengnan An, Zexiong Ma, Siqi Cai, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Learning From Mistakes Makes LLM Better Reasoner.

Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen

CoRR, 2023

Does Deep Learning Learn to Abstract? A Systematic Probing Framework.

Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Skill-Based Few-Shot Selection for In-Context Learning.

Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

How Do In-Context Examples Affect Compositional Generalization?

Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models.

Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou

CoRR, 2022

2021

Learning Algebraic Recombination for Compositional Generalization.

Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Compositional Generalization by Learning Analytical Expressions.

Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020