代码大模型 / AI 编程

Large Language Model-Aware In-Context Learning for Code Generation

Jia Li, Ge Li, Chongyang Tao, Jia Li, Huangzhao Zhang, Fang Liu, Zhi Jin

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

Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach

Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang

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

Case Study: Using AI-Assisted Code Generation In Mobile Teams

Mircea-Serban Vasiliniuc, Adrian Groza

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

Comments 8 pages, 10 figures, 1 table, ICCP conference

Self-Edit: Fault-Aware Code Editor for Code Generation

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

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

Comments Accepted by ACL2023

Structured Chain-of-Thought Prompting for Code Generation

Jia Li, Ge Li, Yongmin Li, Zhi Jin

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

Comments arXiv admin note: text overlap with arXiv:2303.17780

AceCoder: Utilizing Existing Code to Enhance Code Generation

Jia Li, Yunfei Zhao, Yongmin Li, Ge Li, Zhi Jin

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

A Comparative Study of Code Generation using ChatGPT 3.5 across 10 Programming Languages

Alessio Buscemi

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

(Vector) Space is Not the Final Frontier: Product Search as Program Synthesis

Jacopo Tagliabue, Ciro Greco

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

Comments Published at SIGIR eCom 2023

Natural Language Commanding via Program Synthesis

Apurva Gandhi, Thong Q. Nguyen, Huitian Jiao, Robert Steen, Ameya Bhatawdekar

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

Neural Machine Translation for Code Generation

Dharma KC, Clayton T. Morrison

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

Comments 33 pages, 1 figure

Towards Code Generation from BDD Test Case Specifications: A Vision

Leon Chemnitz, David Reichenbach, Hani Aldebes, Mariam Naveed, Krishna Narasimhan, Mira Mezini

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

Comments Accepted for publication at the International Conference on AI Engineering (CAIN) 2023

A Preliminary Analysis on the Code Generation Capabilities of GPT-3.5 and Bard AI Models for Java Functions

Giuseppe Destefanis, Silvia Bartolucci, Marco Ortu

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

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors

Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, Xipeng Qiu

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

Comments Accepted to ACL 2023 (main conference). Code and data are publicly available at https://github.com/dasepli/CodeIE

Out of the BLEU: how should we assess quality of the Code Generation models?

Mikhail Evtikhiev, Egor Bogomolov, Yaroslav Sokolov, Timofey Bryksin

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

A Simple, Yet Effective Approach to Finding Biases in Code Generation

Spyridon Mouselinos, Mateusz Malinowski, Henryk Michalewski

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

Comments To appear in ACL Findings 2023

Stochastic Code Generation

Swapnil Sharma, Nikita Anand, Kranthi Kiran G.

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

Comments 6 pages, 3 figures

Greener yet Powerful: Taming Large Code Generation Models with Quantization

Xiaokai Wei, Sujan Gonugondla, Wasi Ahmad, Shiqi Wang, Baishakhi Ray, Haifeng Qian, Xiaopeng Li, Varun Kumar, Zijian Wang, Yuchen Tian, Qing Sun, Ben Athiwaratkun, Mingyue Shang, Murali Krishna Ramanathan, Parminder Bhatia, Bing Xiang

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

Comments 10 pages, 7 figures, 10 tables

Genetic Algorithm for Program Synthesis

Yutaka Nagashima

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

CodePAD: Sequence-based Code Generation with Pushdown Automaton

Yihong Dong, Xue Jiang, Yuchen Liu, Ge Li, Zhi Jin

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

Comments Accepted to ISSTA 2023 (Technical Papers)

Natural Language to Code Generation in Interactive Data Science Notebooks

Pengcheng Yin, Wen-Ding Li, Kefan Xiao, Abhishek Rao, Yeming Wen, Kensen Shi, Joshua Howland, Paige Bailey, Michele Catasta, Henryk Michalewski, Alex Polozov, Charles Sutton

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

Comments 46 pages. 32 figures

MultiPL-E: A Scalable and Extensible Approach to Benchmarking Neural Code Generation

Federico Cassano, John Gouwar, Daniel Nguyen, Sydney Nguyen, Luna Phipps-Costin, Donald Pinckney, Ming-Ho Yee, Yangtian Zi, Carolyn Jane Anderson, Molly Q Feldman, Arjun Guha, Michael Greenberg, Abhinav Jangda

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

Execution-based Evaluation for Data Science Code Generation Models

Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin Clement, Nan Duan, Jianfeng Gao

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

Comments Accepted by the 4th Workshop on Data Science with Human-in-the-loop (DaSH) at EMNLP 2022

Relational program synthesis with numerical reasoning

Céline Hocquette, Andrew Cropper

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

A Neural Network Solves, Explains, and Generates University Math Problems by Program Synthesis and Few-Shot Learning at Human Level

Iddo Drori, Sarah Zhang, Reece Shuttleworth, Leonard Tang, Albert Lu, Elizabeth Ke, Kevin Liu, Linda Chen, Sunny Tran, Newman Cheng, Roman Wang, Nikhil Singh, Taylor L. Patti, Jayson Lynch, Avi Shporer, Nakul Verma, Eugene Wu, Gilbert Strang

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

Comments 181 pages, 8 figures, 280 tables

Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation

Sijie Shen, Xiang Zhu, Yihong Dong, Qizhi Guo, Yankun Zhen, Ge Li

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

Comments This paper has been accepted at ESEC/FSE 2022 Industry Track

swTVM: Towards Optimized Tensor Code Generation for Deep Learning on Sunway Many-Core Processor

Mingzhen Li, Changxi Liu, Jianjin Liao, Xuegui Zheng, Hailong Yang, Rujun Sun, Jun Xu, Lin Gan, Guangwen Yang, Zhongzhi Luan, Depei Qian

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

BF++: a language for general-purpose program synthesis

Vadim Liventsev, Aki Härmä, Milan Petković

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

Comments 8+2 pages (paper+references)

Code Generation Tools (Almost) for Free? A Study of Few-Shot, Pre-Trained Language Models on Code

Patrick Bareiß, Beatriz Souza, Marcelo d'Amorim, Michael Pradel

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

Comments 12 pages, 5 figures

Transformer-based Program Synthesis for Low-Data Environments

Jack Roper

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

Comments 11 pages. Corpus can be found at https://github.com/JRoper18/haskell-scraper

Neural Program Synthesis with Query

Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen

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

Comments Accepted by ICLR 2022