Zeqi Lin

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 43

Top Topics

Graph Embedding

Code Generation

Technical Report

Analytical Expressions

Top Venues

Publications

Marah I Abdin, Sam Ade Jacobs, Ammar Ahmad Awan, Jyoti Aneja, Ahmed Awadallah, Hany Awadalla, Nguyen Bach, Amit Bahree, Arash Bakhtiari, Harkirat S. Behl, Alon Benhaim, Misha Bilenko, Johan Bjorck, Sébastien Bubeck, Martin Cai, Caio César Teodoro Mendes, Weizhu Chen, Vishrav Chaudhary, Parul Chopra, Allie Del Giorno, Gustavo de Rosa, Matthew Dixon, Ronen Eldan, Dan Iter, Amit Garg, Abhishek Goswami, Suriya Gunasekar, Emman Haider, Junheng Hao, Russell J. Hewett, Jamie Huynh, Mojan Javaheripi, Xin Jin, Piero Kauffmann, Nikos Karampatziakis, Dongwoo Kim, Mahoud Khademi, Lev Kurilenko, James R. Lee, Yin Tat Lee, Yuanzhi Li, Chen Liang, Weishung Liu, Eric Lin, Zeqi Lin, Piyush Madan, Arindam Mitra, Hardik Modi, Anh Nguyen, Brandon Norick, Barun Patra, Daniel Perez-Becker, Thomas Portet, Reid Pryzant, Heyang Qin, Marko Radmilac, Corby Rosset, Sambudha Roy, Olatunji Ruwase, Olli Saarikivi, Amin Saied, Adil Salim, Michael Santacroce, Shital Shah, Ning Shang, Hiteshi Sharma, Xia Song, Masahiro Tanaka, Xin Wang, Rachel Ward, Guanhua Wang, Philipp Witte, Michael Wyatt, Can Xu, Jiahang Xu, Sonali Yadav, Fan Yang, Ziyi Yang, Donghan Yu, Chengruidong Zhang, Cyril Zhang, Jianwen Zhang, Li Lyna Zhang, Yi Zhang, Yue Zhang, Yunan Zhang, Xiren Zhou
Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone. CoRR (2024)
Zexiong Ma, Shengnan An, Bing Xie, Zeqi Lin
Compositional API Recommendation for Library-Oriented Code Generation. CoRR (2024)
Zexiong Ma, Shengnan An, Bing Xie, Zeqi Lin
Compositional API Recommendation for Library-Oriented Code Generation. ICPC (2024)
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou
Make Your LLM Fully Utilize the Context. CoRR (2024)
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
How Do In-Context Examples Affect Compositional Generalization? CoRR (2023)
Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. ICLR (2023)
Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
Skill-Based Few-Shot Selection for In-Context Learning. EMNLP (2023)
Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou
Skill-Based Few-Shot Selection for In-Context Learning. CoRR (2023)
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
Making Language Models Better Reasoners with Step-Aware Verifier. ACL (1) (2023)
Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang
How Do In-Context Examples Affect Compositional Generalization? ACL (1) (2023)
Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen
Learning From Mistakes Makes LLM Better Reasoner. CoRR (2023)
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
CodeT: Code Generation with Generated Tests. ICLR (2023)
Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. CoRR (2023)
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation. CoRR (2022)
Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen
Reasoning Like Program Executors. EMNLP (2022)
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
When Language Model Meets Private Library. EMNLP (Findings) (2022)
Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou
Nufix: Escape From NuGet Dependency Maze. ICSE (2022)
Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou
TAPEX: Table Pre-training via Learning a Neural SQL Executor. ICLR (2022)
Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen
CodeT: Code Generation with Generated Tests. CoRR (2022)
Shengnan An, Yifei Li, Zeqi Lin, Qian Liu, Bei Chen, Qiang Fu, Weizhu Chen, Nanning Zheng, Jian-Guang Lou
Input-Tuning: Adapting Unfamiliar Inputs to Frozen Pretrained Models. CoRR (2022)
Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou
When Language Model Meets Private Library. CoRR (2022)
Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou
CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. IJCAI (2022)
Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen
Reasoning Like Program Executors. CoRR (2022)
Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen
On the Advance of Making Language Models Better Reasoners. CoRR (2022)
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
Learning Algebraic Recombination for Compositional Generalization. ACL/IJCNLP (Findings) (2021)
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang
Learning Algebraic Recombination for Compositional Generalization. CoRR (2021)
Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-Guang Lou
TAPEX: Table Pre-training via Learning a Neural SQL Executor. CoRR (2021)
Chenyao Liu, Zeqi Lin, Jian-Guang Lou, Lijie Wen, Dongmei Zhang
Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ. ASE (2021)
Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. AAAI (2021)
Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
Iterative Utterance Segmentation for Neural Semantic Parsing. AAAI (2021)
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
Compositional Generalization by Learning Analytical Expressions. CoRR (2020)
Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. CoRR (2020)
Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang
Compositional Generalization by Learning Analytical Expressions. NeurIPS (2020)
Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
Hierarchical Poset Decoding for Compositional Generalization in Language. CoRR (2020)
Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
Iterative Utterance Segmentation for Neural Semantic Parsing. CoRR (2020)
Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang
Hierarchical Poset Decoding for Compositional Generalization in Language. NeurIPS (2020)
Chunyang Ling, Zeqi Lin, Yanzhen Zou, Bing Xie
Adaptive Deep Code Search. ICPC (2020)
Chunyang Ling, Yanzhen Zou, Zeqi Lin, Bing Xie
Graph Embedding Based API Graph Search and Recommendation. J. Comput. Sci. Technol. 34 (5) (2019)
Min Wang, Zeqi Lin, Yanzhen Zou, Bing Xie
CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. ASE (2019)
Yanzhen Zou, Chunyang Ling, Zeqi Lin, Bing Xie
Graph Embedding based Code Search in Software Project. Internetware (2018)
Zeqi Lin, Junfeng Zhao, Yanzhen Zou, Bing Xie
Document Distance Estimation via Code Graph Embedding. Internetware (2017)
Zeqi Lin, Yanzhen Zou, Junfeng Zhao, Bing Xie
Improving software text retrieval using conceptual knowledge in source code. ASE (2017)
Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuan-Dong Li, Jun Wei, Hailong Sun, Gang Yin
Intelligent Development Environment and Software Knowledge Graph. J. Comput. Sci. Technol. 32 (2) (2017)
Zixiao Zhu, Yanzhen Zou, Bing Xie, Yong Jin, Zeqi Lin, Lu Zhang
Mining API Usage Examples from Test Code. ICSME (2014)
Zeqi Lin, Junfeng Zhao, Bing Xie
A graph database based crowdsourcing infrastructure for modelling and searching code structure. Internetware (2014)