Mining API Usage Examples from Test Code. - Zixiao Zhu; Yanzhen Zou; Bing Xie; Yong Jin 008; Zeqi Lin; Lu Zhang 023 (ICSME, 2014)

A graph database based crowdsourcing infrastructure for modelling and searching code structure. - Zeqi Lin; Junfeng Zhao 001; Bing Xie (Internetware, 2014)

Document Distance Estimation via Code Graph Embedding. - Zeqi Lin; Junfeng Zhao 001; Yanzhen Zou; Bing Xie (Internetware, 2017)

Improving software text retrieval using conceptual knowledge in source code. - Zeqi Lin; Yanzhen Zou; Junfeng Zhao 001; Bing Xie (ASE, 2017)

Intelligent Development Environment and Software Knowledge Graph. - Zeqi Lin; Bing Xie; Yanzhen Zou; Junfeng Zhao 001; Xuandong Li; Jun Wei 001; Hailong Sun 001; Gang Yin (J. Comput. Sci. Technol., 2017)

Graph Embedding based Code Search in Software Project. - Yanzhen Zou; Chunyang Ling; Zeqi Lin; Bing Xie (Internetware, 2018)

CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. - Min Wang; Zeqi Lin; Yanzhen Zou; Bing Xie (ASE, 2019)

Graph Embedding Based API Graph Search and Recommendation. - Chunyang Ling; Yanzhen Zou; Zeqi Lin; Bing Xie (J. Comput. Sci. Technol., 2019)

Adaptive Deep Code Search. - Chunyang Ling; Zeqi Lin; Yanzhen Zou; Bing Xie (ICPC, 2020)

Hierarchical Poset Decoding for Compositional Generalization in Language. - Yinuo Guo; Zeqi Lin; Jian-Guang Lou; Dongmei Zhang 001 (NeurIPS, 2020)

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)

Iterative Utterance Segmentation for Neural Semantic Parsing. - Yinuo Guo; Zeqi Lin; Jian-Guang Lou; Dongmei Zhang 001 (AAAI, 2021)

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. - Yinuo Guo; Hualei Zhu; Zeqi Lin; Bei Chen; Jian-Guang Lou; Dongmei Zhang 001 (AAAI, 2021)

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)

Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ. - Chenyao Liu; Zeqi Lin; Jian-Guang Lou; Lijie Wen 001; Dongmei Zhang 001 (ASE, 2021)

Reasoning Like Program Executors. - Xinyu Pi; Qian Liu; Bei Chen; Morteza Ziyadi; Zeqi Lin; Qiang Fu; Yan Gao 002; Jian-Guang Lou; Weizhu Chen (EMNLP, 2022)

When Language Model Meets Private Library. - Daoguang Zan; Bei Chen; Zeqi Lin; Bei Guan; Yongji Wang 002; Jian-Guang Lou (EMNLP (Findings), 2022)

TAPEX: Table Pre-training via Learning a Neural SQL Executor. - Qian Liu; Bei Chen; Jiaqi Guo; Morteza Ziyadi; Zeqi Lin; Weizhu Chen; Jian-Guang Lou (ICLR, 2022)

Nufix: Escape From NuGet Dependency Maze. - Zhenming Li; Ying Wang 038; Zeqi Lin; Shing-Chi Cheung; Jian-Guang Lou (ICSE, 2022)

CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. - Daoguang Zan; Bei Chen; Dejian Yang; Zeqi Lin; Minsu Kim; Bei Guan; Yongji Wang 002; Weizhu Chen; Jian-Guang Lou (IJCAI, 2022)

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)

On the Advance of Making Language Models Better Reasoners. - Yifei Li; Zeqi Lin; Shizhuo Zhang; Qiang Fu; Bei Chen; Jian-Guang Lou; Weizhu Chen (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)

Making Language Models Better Reasoners with Step-Aware Verifier. - Yifei Li 005; Zeqi Lin; Shizhuo Zhang; Qiang Fu 015; Bei Chen; Jian-Guang Lou; Weizhu Chen (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)

CodeT: Code Generation with Generated Tests. - Bei Chen; Fengji Zhang; Anh Nguyen; Daoguang Zan; Zeqi Lin; Jian-Guang Lou; Weizhu Chen (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)

Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. - Marah I Abdin; Sam Ade Jacobs; Ammar Ahmad Awan; Jyoti Aneja; Ahmed Awadallah 001; Hany Awadalla; Nguyen Bach; Amit Bahree; Arash Bakhtiari; Harkirat S. Behl; Alon Benhaim; Misha Bilenko; et al. (CoRR, 2024)

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

GRIN: GRadient-INformed MoE. - Liyuan Liu; Young Jin Kim 001; Shuohang Wang; Chen Liang 006; Yelong Shen; Hao Cheng 002; Xiaodong Liu 003; Masahiro Tanaka; Xiaoxia Wu; Wenxiang Hu; Vishrav Chaudhary; Zeqi Lin; et al. (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)

Self-Evolved Reward Learning for LLMS. - Chenghua Huang; Zhizhen Fan; Lu Wang 029; Fangkai Yang; Pu Zhao 004; Zeqi Lin; Qingwei Lin; Dongmei Zhang 001; Saravan Rajmohan; Qi Zhang 066 (ICLR, 2025)

Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs. - Abdelrahman Abouelenin; Atabak Ashfaq; Adam Atkinson; Hany Awadalla; Nguyen Bach; Jianmin Bao; Alon Benhaim; Martin Cai; Vishrav Chaudhary; Congcong Chen; Dong Chen 003; Dongdong Chen 001; et al. (CoRR, 2025)