代码大模型 / AI 编程

Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects

Wuyang Zhang, Yansong Li, Zeyu Dong, Yu Wu, Yingyao Zhou, Duolei Wang, Songsirou Xing, Chichun Zhou, Da Shen

机构 * University of Illinois Chicago（伊利诺伊大学芝加哥分校） ； Stony Brook University（石溪大学） ； Rutgers University（罗格斯大学） ； John Hopkins University（约翰霍普金斯大学） ； The Chinese University of Hong Kong, Shenzhen（香港中文大学（深圳）） ； Dali University（大理大学） 纠错

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

Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation

Bradley McDanel

机构 * Franklin and Marshall College（富兰克林与马歇尔学院） 纠错

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

Comments 3 pages, 2 figures

WebCode2M: A Real-World Dataset for Code Generation from Webpage Designs

Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Bohua Chen, Dongping Chen, Siyuan Wu, Xing Zhou, Wenbin Jiang, Hai Jin, Xiangliang Zhang

机构 * Huazhong University of Science and Technology（华中科技大学） ； Peking University（北京大学） ； Chongqing University（重庆大学） ； Hubei University of Automotive Technology（湖北汽车工业学院） ； Rabbitpre AI ； University of Notre Dame（圣母大学） 纠错

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

Comments WWW'25

S*: Test Time Scaling for Code Generation

Dacheng Li, Shiyi Cao, Chengkun Cao, Xiuyu Li, Shangyin Tan, Kurt Keutzer, Jiarong Xing, Joseph E. Gonzalez, Ion Stoica

机构 * University of California, Berkeley（加利福尼亚大学伯克利分校） 纠错

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

From PowerPoint UI Sketches to Web-Based Applications: Pattern-Driven Code Generation for GIS Dashboard Development Using Knowledge-Augmented LLMs, Context-Aware Visual Prompting, and the React Framework

Haowen Xu, Xiao-Ying Yu

机构 * Oak Ridge National Laboratory（橡树岭国家实验室） 纠错

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

Process-Supervised Reinforcement Learning for Code Generation

Yufan Ye, Ting Zhang, Wenbin Jiang, Hua Huang

机构 * Beijing Institute of Technology（北京理工大学） ； Beijing Normal University（北京师范大学） 纠错

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

Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation

Yanlong Li, Jindong Li, Qi Wang, Menglin Yang, He Kong, Shengsheng Wang

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

Online Prompt Selection for Program Synthesis

Yixuan Li, Lewis Frampton, Federico Mora, Elizabeth Polgreen

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

Comments Accepted at the 39th AAAI Conference on Artificial Intelligence (AAAI-25) Main Track

Revisit Self-Debugging with Self-Generated Tests for Code Generation

Xiancai Chen, Zhengwei Tao, Kechi Zhang, Changzhi Zhou, Wanli Gu, Yuanpeng He, Mengdi Zhang, Xunliang Cai, Haiyan Zhao, Zhi Jin

机构 * Peking University（北京大学） ； Beijing Institute of Technology（北京理工大学） ； Meituan（美团） 纠错

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

Comments Work in Progress

Towards Advancing Code Generation with Large Language Models: A Research Roadmap

Haolin Jin, Huaming Chen, Qinghua Lu, Liming Zhu

机构 * University of Sydney（悉尼大学） ； CSIRO’s Data61（澳大利亚联邦科学与工业研究组织Data61研究院） 纠错

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

Lyra: A Benchmark for Turducken-Style Code Generation

Qingyuan Liang, Zeyu Sun, Qihao Zhu, Wenjie Zhang, Lian Yu, Yingfei Xiong, Lu Zhang

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

Journal ref Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022, Main Track. Pages 4238-4244

Unseen Horizons: Unveiling the Real Capability of LLM Code Generation Beyond the Familiar

Yuanliang Zhang, Yifan Xie, Shanshan Li, Ke Liu, Chong Wang, Zhouyang Jia, Xiangbing Huang, Jie Song, Chaopeng Luo, Zhizheng Zheng, Rulin Xu, Yitong Liu, Si Zheng, Xiangke Liao

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

Comments Accepted by the 47th International Conference on Software Engineering (ICSE 2025)

ContextModule: Improving Code Completion via Repository-level Contextual Information

Zhanming Guan, Junlin Liu, Jierui Liu, Chao Peng, Dexin Liu, Ningyuan Sun, Bo Jiang, Wenchao Li, Jie Liu, Hang Zhu

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

AlphaVerus: Bootstrapping Formally Verified Code Generation through Self-Improving Translation and Treefinement

Pranjal Aggarwal, Bryan Parno, Sean Welleck

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

A Comparative Study on Code Generation with Transformers

Namrata Das, Rakshya Panta, Neelam Karki, Ruchi Manandhar, Dinesh Baniya Kshatri

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

Using a Feedback Loop for LLM-based Infrastructure as Code Generation

Mayur Amarnath Palavalli, Mark Santolucito

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

Comments 4 pages, submitted to accepted by International Journal of Secondary Computing and Applications Research

LLM4DS: Evaluating Large Language Models for Data Science Code Generation

Nathalia Nascimento, Everton Guimaraes, Sai Sanjna Chintakunta, Santhosh Anitha Boominathan

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

Comments 11 pages

Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation

Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin

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

Comments NeurIPS 2024 oral

HYSYNTH: Context-Free LLM Approximation for Guiding Program Synthesis

Shraddha Barke, Emmanuel Anaya Gonzalez, Saketh Ram Kasibatla, Taylor Berg-Kirkpatrick, Nadia Polikarpova

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

Comments Accepted at NeurIPS 2024

SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Feng Lin, Dong Jae Kim, Tse-Husn, Chen

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

Comments ICSE 2025

CodeFort: Robust Training for Code Generation Models

Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras

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

DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation

Xueqing Wu, Rui Zheng, Jingzhen Sha, Te-Lin Wu, Hanyu Zhou, Mohan Tang, Kai-Wei Chang, Nanyun Peng, Haoran Huang

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

Comments NeurIPS 2024 Dataset and Benchmark Track

M2rc-Eval: Massively Multilingual Repository-level Code Completion Evaluation

Jiaheng Liu, Ken Deng, Congnan Liu, Jian Yang, Shukai Liu, He Zhu, Peng Zhao, Linzheng Chai, Yanan Wu, Ke Jin, Ge Zhang, Zekun Wang, Guoan Zhang, Bangyu Xiang, Wenbo Su, Bo Zheng

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

Comments 19 pages

Test-Driven Development for Code Generation

Noble Saji Mathews, Meiyappan Nagappan

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

From Solitary Directives to Interactive Encouragement! LLM Secure Code Generation by Natural Language Prompting

Shigang Liu, Bushra Sabir, Seung Ick Jang, Yuval Kansal, Yansong Gao, Kristen Moore, Alsharif Abuadbba, Surya Nepal

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

VersiCode: Towards Version-controllable Code Generation

Tongtong Wu, Weigang Wu, Xingyu Wang, Kang Xu, Suyu Ma, Bo Jiang, Ping Yang, Zhenchang Xing, Yuan-Fang Li, Gholamreza Haffari

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

CodeBenchGen: Creating Scalable Execution-based Code Generation Benchmarks

Yiqing Xie, Alex Xie, Divyanshu Sheth, Pengfei Liu, Daniel Fried, Carolyn Rose

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

Selection of Prompt Engineering Techniques for Code Generation through Predicting Code Complexity

Chung-Yu Wang, Alireza DaghighFarsoodeh, Hung Viet Pham

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

Comments 18 pages + reference

$\mathbb{USCD}$: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding

Shuai Wang, Liang Ding, Li Shen, Yong Luo, Zheng He, Wei Yu, Dacheng Tao

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

Comments 13pages,8 figures

A Pair Programming Framework for Code Generation via Multi-Plan Exploration and Feedback-Driven Refinement

Huan Zhang, Wei Cheng, Yuhan Wu, Wei Hu

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

Comments Accepted in the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024)