Zeqi Lin

According to our database, Zeqi Lin authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

GRIN: GRadient-INformed MoE.

Liyuan Liu, Young Jin Kim, Shuohang Wang, Chen Liang, Yelong Shen, Hao Cheng, Xiaodong Liu, Masahiro Tanaka, Xiaoxia Wu, Wenxiang Hu, Vishrav Chaudhary, Zeqi Lin, Chengruidong Zhang, Jilong Xue, Hany Awadalla, Jianfeng Gao, Weizhu Chen

CoRR, 2024

Make Your LLM Fully Utilize the Context.

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

CoRR, 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, 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

CoRR, 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

CodeT: Code Generation with Generated Tests.

Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen

Proceedings of the Eleventh International Conference on Learning Representations, 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

Making Language Models Better Reasoners with Step-Aware Verifier.

Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen

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

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

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

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, Weizhu Chen, Jian-Guang Lou

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Nufix: Escape From NuGet Dependency Maze.

Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

When Language Model Meets Private Library.

Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Reasoning Like Program Executors.

Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

TAPEX: Table Pre-training via Learning a Neural SQL Executor.

Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-Guang Lou

CoRR, 2021

Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ.

Chenyao Liu, Zeqi Lin, Jian-Guang Lou, Lijie Wen, Dongmei Zhang

Proceedings of the 36th IEEE/ACM International Conference on Automated Software Engineering, 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

Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization.

Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Iterative Utterance Segmentation for Neural Semantic Parsing.

Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 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

Hierarchical Poset Decoding for Compositional Generalization in Language.

Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang

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

Adaptive Deep Code Search.

Chunyang Ling, Zeqi Lin, Yanzhen Zou, Bing Xie

Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

2019

Graph Embedding Based API Graph Search and Recommendation.

Chunyang Ling, Yanzhen Zou, Zeqi Lin, Bing Xie

J. Comput. Sci. Technol., 2019

CoRA: Decomposing and Describing Tangled Code Changes for Reviewer.

Min Wang, Zeqi Lin, Yanzhen Zou, Bing Xie

Proceedings of the 34th IEEE/ACM International Conference on Automated Software Engineering, 2019

2018

Graph Embedding based Code Search in Software Project.

Yanzhen Zou, Chunyang Ling, Zeqi Lin, Bing Xie

Proceedings of the Tenth Asia-Pacific Symposium on Internetware, 2018

2017

Intelligent Development Environment and Software Knowledge Graph.

Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuandong Li, Jun Wei, Hailong Sun, Gang Yin

J. Comput. Sci. Technol., 2017

Improving software text retrieval using conceptual knowledge in source code.

Zeqi Lin, Yanzhen Zou, Junfeng Zhao, Bing Xie

Proceedings of the 32nd IEEE/ACM International Conference on Automated Software Engineering, 2017

Document Distance Estimation via Code Graph Embedding.

Zeqi Lin, Junfeng Zhao, Yanzhen Zou, Bing Xie

Proceedings of the 9th Asia-Pacific Symposium on Internetware, 2017

2014

A graph database based crowdsourcing infrastructure for modelling and searching code structure.

Zeqi Lin, Junfeng Zhao, Bing Xie

Proceedings of the 6th Asia-Pacific Symposium on Internetware, 2014

Mining API Usage Examples from Test Code.

Zixiao Zhu, Yanzhen Zou, Bing Xie, Yong Jin, Zeqi Lin, Lu Zhang

Proceedings of the 30th IEEE International Conference on Software Maintenance and Evolution, Victoria, BC, Canada, September 29, 2014