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Journal Articles
- 2019
[j2]Chunyang Ling, Yanzhen Zou, Zeqi Lin, Bing Xie:
Graph Embedding Based API Graph Search and Recommendation. J. Comput. Sci. Technol. 34(5): 993-1006 (2019)- 2017
- [j1]Zeqi Lin, Bing Xie, Yanzhen Zou, Junfeng Zhao, Xuandong Li, Jun Wei, Hailong Sun, Gang Yin:
Intelligent Development Environment and Software Knowledge Graph. J. Comput. Sci. Technol. 32(2): 242-249 (2017)
Conference and Workshop Papers
- 2024
- [c24]Zexiong Ma
, Shengnan An, Bing Xie, Zeqi Lin:
Compositional API Recommendation for Library-Oriented Code Generation. ICPC 2024: 87-98 - 2023
- [c23]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: 5315-5333 - [c22]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: 11027-11052 - [c21]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: 13472-13492 - [c20]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 - [c19]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. ICLR 2023 - 2022
- [c18]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. EMNLP (Findings) 2022: 277-288 - [c17]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: 761-779 - [c16]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 - [c15]Zhenming Li, Ying Wang, Zeqi Lin, Shing-Chi Cheung, Jian-Guang Lou:
Nufix: Escape From NuGet Dependency Maze. ICSE 2022: 1545-1557 - [c14]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: 2369-2375 - 2021
- [c13]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: 7601-7609 - [c12]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Iterative Utterance Segmentation for Neural Semantic Parsing. AAAI 2021: 12937-12945 - [c11]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: 1129-1144 - [c10]Chenyao Liu, Zeqi Lin, Jian-Guang Lou, Lijie Wen, Dongmei Zhang:
Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ. ASE 2021: 617-629 - 2020
- [c9]Chunyang Ling, Zeqi Lin, Yanzhen Zou, Bing Xie:
Adaptive Deep Code Search. ICPC 2020: 48-59 - [c8]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Hierarchical Poset Decoding for Compositional Generalization in Language. NeurIPS 2020 - [c7]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 - 2019
- [c6]Min Wang, Zeqi Lin, Yanzhen Zou, Bing Xie:
CoRA: Decomposing and Describing Tangled Code Changes for Reviewer. ASE 2019: 1050-1061 - 2018
- [c5]Yanzhen Zou, Chunyang Ling, Zeqi Lin, Bing Xie:
Graph Embedding based Code Search in Software Project. Internetware 2018: 1:1-1:10 - 2017
- [c4]Zeqi Lin, Junfeng Zhao, Yanzhen Zou, Bing Xie:
Document Distance Estimation via Code Graph Embedding. Internetware 2017: 11:1-11:10 - [c3]Zeqi Lin, Yanzhen Zou, Junfeng Zhao, Bing Xie:
Improving software text retrieval using conceptual knowledge in source code. ASE 2017: 123-134 - 2014
- [c2]Zixiao Zhu, Yanzhen Zou, Bing Xie, Yong Jin, Zeqi Lin, Lu Zhang:
Mining API Usage Examples from Test Code. ICSME 2014: 301-310 - [c1]Zeqi Lin, Junfeng Zhao, Bing Xie:
A graph database based crowdsourcing infrastructure for modelling and searching code structure. Internetware 2014: 15-24
Informal and Other Publications
- 2024
- [i20]Zexiong Ma, Shengnan An, Bing Xie, Zeqi Lin:
Compositional API Recommendation for Library-Oriented Code Generation. CoRR abs/2402.19431 (2024) - [i19]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 abs/2404.14219 (2024) - [i18]Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou:
Make Your LLM Fully Utilize the Context. CoRR abs/2404.16811 (2024) - [i17]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:
GRIN: GRadient-INformed MoE. CoRR abs/2409.12136 (2024) - 2023
- [i16]Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou:
Does Deep Learning Learn to Abstract? A Systematic Probing Framework. CoRR abs/2302.11978 (2023) - [i15]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? CoRR abs/2305.04835 (2023) - [i14]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 abs/2305.14210 (2023) - [i13]Shengnan An, Zexiong Ma, Zeqi Lin, Nanning Zheng, Jian-Guang Lou, Weizhu Chen:
Learning From Mistakes Makes LLM Better Reasoner. CoRR abs/2310.20689 (2023) - 2022
- [i12]Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Yan Gao, Qiang Fu, Jian-Guang Lou, Weizhu Chen:
Reasoning Like Program Executors. CoRR abs/2201.11473 (2022) - [i11]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 abs/2203.03131 (2022) - [i10]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 abs/2206.02336 (2022) - [i9]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 abs/2206.06888 (2022) - [i8]Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen:
CodeT: Code Generation with Generated Tests. CoRR abs/2207.10397 (2022) - [i7]Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou:
When Language Model Meets Private Library. CoRR abs/2210.17236 (2022) - 2021
- [i6]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 abs/2107.06516 (2021) - [i5]Qian Liu, Bei Chen, Jiaqi Guo, Zeqi Lin, Jian-Guang Lou:
TAPEX: Table Pre-training via Learning a Neural SQL Executor. CoRR abs/2107.07653 (2021) - 2020
- [i4]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 abs/2006.10627 (2020) - [i3]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Hierarchical Poset Decoding for Compositional Generalization in Language. CoRR abs/2010.07792 (2020) - [i2]Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. CoRR abs/2012.04276 (2020) - [i1]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Iterative Utterance Segmentation for Neural Semantic Parsing. CoRR abs/2012.07019 (2020)
Coauthor Index
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