代码大模型 / AI 编程

ToolCoder: Teach Code Generation Models to use API search tools

Kechi Zhang, Huangzhao Zhang, Ge Li, Jia Li, Zhuo Li, Zhi Jin

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

SkCoder: A Sketch-based Approach for Automatic Code Generation

Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

Comments Accepted by the 45th IEEE/ACM International Conference on Software Engineering (ICSE 2023)

COCO: Testing Code Generation Systems via Concretized Instructions

Ming Yan, Junjie Chen, Jie M. Zhang, Xuejie Cao, Chen Yang, Mark Harman

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

A Syntax-Guided Multi-Task Learning Approach for Turducken-Style Code Generation

Guang Yang, Yu Zhou, Xiang Chen, Xiangyu Zhang, Yiran Xu, Tingting Han, Taolue Chen

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

Comments Accepted in Empirical Software Engineering

How Important are Good Method Names in Neural Code Generation? A Model Robustness Perspective

Guang Yang, Yu Zhou, Wenhua Yang, Tao Yue, Xiang Chen, Taolue Chen

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

Comments UNDER REVIEW

Private-Library-Oriented Code Generation with Large Language Models

Daoguang Zan, Bei Chen, Yongshun Gong, Junzhi Cao, Fengji Zhang, Bingchao Wu, Bei Guan, Yilong Yin, Yongji Wang

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

Knowledge-Driven Robot Program Synthesis from Human VR Demonstrations

Benjamin Alt, Franklin Kenghagho Kenfack, Andrei Haidu, Darko Katic, Rainer Jäkel, Michael Beetz

专题命中 代码生成 ：program synthesis(title)；code generation(abstract)；分类 cs.AI

Comments 10 pages, 11 figures, accepted at the 20th International Conference on Principles of Knowledge Representation and Reasoning (KR2023, https://kr.org/KR2023)

A Comprehensive Review of State-of-The-Art Methods for Java Code Generation from Natural Language Text

Jessica López Espejel, Mahaman Sanoussi Yahaya Alassan, El Mehdi Chouham, Walid Dahhane, El Hassane Ettifouri

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.CL

Comments Published at Elsevier's Natural Language Processing Journal

Journal ref Natural Language Processing Journal, Volume 3, 2023, 100013, ISSN 2949-7191

Modular Visual Question Answering via Code Generation

Sanjay Subramanian, Medhini Narasimhan, Kushal Khangaonkar, Kevin Yang, Arsha Nagrani, Cordelia Schmid, Andy Zeng, Trevor Darrell, Dan Klein

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.CL

Comments ACL 2023

Solving Novel Program Synthesis Problems with Genetic Programming using Parametric Polymorphism

Edward Pantridge, Thomas Helmuth

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.PL

Comments 9 pages, 5 figures, to be published in proceedings of GECCO 2023

Explicit Knowledge Transfer for Weakly-Supervised Code Generation

Zhangir Azerbayev, Ansong Ni, Hailey Schoelkopf, Dragomir Radev

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.CL

Comments Updated on Jun 7. 2023 with ICLR workshop header

Python Code Generation by Asking Clarification Questions

Haau-Sing Li, Mohsen Mesgar, André F. T. Martins, Iryna Gurevych

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.CL

Comments 9 pages (excluding Limitations and Ethics Concerns)

Code4Struct: Code Generation for Few-Shot Event Structure Prediction

Xingyao Wang, Sha Li, Heng Ji

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.CL

Comments ACL 2023

Uncovering and Quantifying Social Biases in Code Generation

Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.CL

Improving ChatGPT Prompt for Code Generation

Chao Liu, Xuanlin Bao, Hongyu Zhang, Neng Zhang, Haibo Hu, Xiaohong Zhang, Meng Yan

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

Comments 12 pages, 1 figure

Inductive Program Synthesis via Iterative Forward-Backward Abstract Interpretation

Yongho Yoon, Woosuk Lee, Kwangkeun Yi

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.PL

Self Optimisation and Automatic Code Generation by Evolutionary Algorithms in PLC based Controlling Processes

Marlon Löppenberg, Andreas Schwung

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.LG

Comments Submitted to INDIN 2023

Synthesizing explainable counterfactual policies for algorithmic recourse with program synthesis

Giovanni De Toni, Bruno Lepri, Andrea Passerini

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.LG

Programming by Example and Text-to-Code Translation for Conversational Code Generation

Eli Whitehouse, William Gerard, Yauhen Klimovich, Marc Franco-Salvador

专题命中 代码生成 ：code generation(title)；program synthesis(abstract)；分类 cs.CL

Comments 13 pages, 2 figures, conference preprint

Formally Verified Native Code Generation in an Effectful JIT -- or: Turning the CompCert Backend into a Formally Verified JIT Compiler

Aurèle Barrière, Sandrine Blazy, David Pichardie

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.PL

Comments Proceedings of the ACM on Programming Languages, 2023

Towards Porting Operating Systems with Program Synthesis

Jingmei Hu, Eric Lu, David A. Holland, Ming Kawaguchi, Stephen Chong, Margo I. Seltzer

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.PL

Comments ACM Transactions on Programming Languages and Systems. Accepted on August 2022

Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives

Yifan He, Claus Aranha, Tetsuya Sakurai

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.AI

Comments 8 pages, 10 figures, accepted by 2022 IEEE Symposium Series on Computational Intelligence

Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-Iteration

Tuowen Zhao, Tobi Popoola, Mary Hall, Catherine Olschanowsky, Michelle Mills Strout

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.PL

SSLEM: A Simplifier for MBA Expressions based on Semi-linear MBA Expressions and Program Synthesis

Seong-Kyun Mok, Seoyeon Kang, Jeongwoo Kim, Eun-Sun Cho, Seokwoo Choi

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.PL

Informal proceedings of the 32nd International Symposium on Logic-Based Program Synthesis and Transformation (LOPSTR 2022)

Alicia Villanueva

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.PL

WhyGen: Explaining ML-powered Code Generation by Referring to Training Examples

Weixiang Yan, Yuanchun Li

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

Comments 5 pages,accept by ICSE 2022 Demo track

Efficient Pragmatic Program Synthesis with Informative Specifications

Saujas Vaduguru, Kevin Ellis, Yewen Pu

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.AI

Comments 9 pages, Meaning in Context Workshop 2021

Automated Transpilation of Imperative to Functional Code using Neural-Guided Program Synthesis (Extended Version)

Benjamin Mariano, Yanju Chen, Yu Feng, Greg Durrett, Isil Dillig

专题命中 代码生成 ：program synthesis(title,abstract)；分类 cs.PL

Comments Fixed some incorrectly rendered citations

Code Generation for Unknown Libraries via Reading API Documentations

Koki Washio, Yusuke Miyao

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.CL

CodeGen-Test: An Automatic Code Generation Model Integrating Program Test Information

Maosheng Zhong, Gen Liu, Hongwei Li, Jiangling Kuang, Jinshan Zeng, Mingwen Wang

专题命中 代码生成 ：code generation(title,abstract)；分类 cs.SE

Comments 10 paper pages, 7 figures; 2 appendix pages, 5 appendix figures