代码大模型 / AI 编程

Process Supervision-Guided Policy Optimization for Code Generation

Ning Dai, Zheng Wu, Renjie Zheng, Ziyun Wei, Wenlei Shi, Xing Jin, Guanlin Liu, Chen Dun, Liang Huang, Lin Yan

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

Comments 15 pages, 8 figures

Revisiting VerilogEval: A Year of Improvements in Large-Language Models for Hardware Code Generation

Nathaniel Pinckney, Christopher Batten, Mingjie Liu, Haoxing Ren, Brucek Khailany

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

Comments This paper revisits and improves the benchmark first presented in arXiv:2309.07544. Twenty-one pages, five figures

Enhancing Code Generation for Low-Resource Languages: No Silver Bullet

Alessandro Giagnorio, Alberto Martin-Lopez, Gabriele Bavota

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

Comments Accepted at ICPC'25

HumanEvalComm: Benchmarking the Communication Competence of Code Generation for LLMs and LLM Agent

Jie JW Wu, Fatemeh H Fard

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

Comments 42 pages, 6 figures, 16 tables. Published in ACM Transactions on Software Engineering and Methodology (TOSEM)

Journal ref ACM Trans. Softw. Eng. Methodol., Published Jan 2025

Paradigm-Based Automatic HDL Code Generation Using LLMs

Wenhao Sun, Bing Li, Grace Li Zhang, Xunzhao Yin, Cheng Zhuo, Ulf Schlichtmann

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

Comments accepted by ISQED2025. arXiv admin note: text overlap with arXiv:2407.18326

Fixing Function-Level Code Generation Errors for Foundation Large Language Models

Hao Wen, Yueheng Zhu, Chao Liu, Xiaoxue Ren, Weiwei Du, Meng Yan

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

Guided Code Generation with LLMs: A Multi-Agent Framework for Complex Code Tasks

Amr Almorsi, Mohanned Ahmed, Walid Gomaa

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

Comments 4 pages, 3 figures

Journal ref Proceedings of the 2024 IEEE International Japan-Africa Conference on Electronics communications and Computations (JAC ECC)

AlgoPilot: Fully Autonomous Program Synthesis Without Human-Written Programs

Xiaoxin Yin

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

HaVen: Hallucination-Mitigated LLM for Verilog Code Generation Aligned with HDL Engineers

Yiyao Yang, Fu Teng, Pengju Liu, Mengnan Qi, Chenyang Lv, Ji Li, Xuhong Zhang, Zhezhi He

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

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Shanghaoran Quan, Jiaxi Yang, Bowen Yu, Bo Zheng, Dayiheng Liu, An Yang, Xuancheng Ren, Bofei Gao, Yibo Miao, Yunlong Feng, Zekun Wang, Jian Yang, Zeyu Cui, Yang Fan, Yichang Zhang, Binyuan Hui, Junyang Lin

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

Agents4PLC: Automating Closed-loop PLC Code Generation and Verification in Industrial Control Systems using LLM-based Agents

Zihan Liu, Ruinan Zeng, Dongxia Wang, Gengyun Peng, Jingyi Wang, Qiang Liu, Peiyu Liu, Wenhai Wang

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

Comments 12 pages (references included), 6 figures and 3 tables. New version updated with fixed site and github repo and along with some minor adjustements

A Divide-Align-Conquer Strategy for Program Synthesis

Jonas Witt, Sebastijan Dumančić, Tias Guns, Claus-Christian Carbon

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

Comments 11 pages, 9 figures

Fixing Large Language Models' Specification Misunderstanding for Better Code Generation

Zhao Tian, Junjie Chen, Xiangyu Zhang

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

Comments Accepted by ICSE 2025

Game Agent Driven by Free-Form Text Command: Using LLM-based Code Generation and Behavior Branch

Ray Ito, Junichiro Takahashi

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

Comments This paper is posted at JSAI 2024 Conference

Journal ref Proceedings of the Annual Conference of JSAI, 2024, Volume JSAI2024, 38th (2024), Session ID 1I5-OS-31b-05, Pages 1I5OS31b05

MAGE: A Multi-Agent Engine for Automated RTL Code Generation

Yujie Zhao, Hejia Zhang, Hanxian Huang, Zhongming Yu, Jishen Zhao

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

Comments 7 pages, 4 figures

DRC-Coder: Automated DRC Checker Code Generation Using LLM Autonomous Agent

Chen-Chia Chang, Chia-Tung Ho, Yaguang Li, Yiran Chen, Haoxing Ren

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

Comments Proceedings of the 2025 International Symposium on Physical Design (ISPD '25), March 16--19, 2025, Austin, TX, USA

Assessing the Answerability of Queries in Retrieval-Augmented Code Generation

Geonmin Kim, Jaeyeon Kim, Hancheol Park, Wooksu Shin, Tae-Ho Kim

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

ConAIR:Consistency-Augmented Iterative Interaction Framework to Enhance the Reliability of Code Generation

Jinhao Dong, Jun Sun, Wenjie Zhang, Jin Song Dong, Dan Hao

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

Scaling Program Synthesis Based Technology Mapping with Equality Saturation

Gus Henry Smith, Colin Knizek, Daniel Petrisko, Zachary Tatlock, Jonathan Balkind, Gilbert Louis Bernstein, Haobin Ni, Chandrakana Nandi

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

Comments Workshop on Open-Source EDA Technology (WOSET) 2024

Anchor Attention, Small Cache: Code Generation with Large Language Models

Xiangyu Zhang, Yu Zhou, Guang Yang, Harald C. Gall, Taolue Chen

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

Comments 14 pages, 8 figures

Revisiting the Impact of Pursuing Modularity for Code Generation

Deokyeong Kang, Ki Jung Seo, Taeuk Kim

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

Comments EMNLP 2024 Findings

SPICEPilot: Navigating SPICE Code Generation and Simulation with AI Guidance

Deepak Vungarala, Sakila Alam, Arnob Ghosh, Shaahin Angizi

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

Comments 6 pages, 2 figures, 5 tables

An Empirical Study of the Non-determinism of ChatGPT in Code Generation

Shuyin Ouyang, Jie M. Zhang, Mark Harman, Meng Wang

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

Learning to Solve Abstract Reasoning Problems with Neurosymbolic Program Synthesis and Task Generation

Jakub Bednarek, Krzysztof Krawiec

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

Comments 18th International Conference on Neural-Symbolic Learning and Reasoning

LLM-Based Test-Driven Interactive Code Generation: User Study and Empirical Evaluation

Sarah Fakhoury, Aaditya Naik, Georgios Sakkas, Saikat Chakraborty, Shuvendu K. Lahiri

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

Comments IEEE Transactions on Software Engineering, vol. 50, no. 09, pp. 2254-2268, 2024

Journal ref in IEEE Transactions on Software Engineering, vol. 50, no. 09, pp. 2254-2268, 2024

SecCoder: Towards Generalizable and Robust Secure Code Generation

Boyu Zhang, Tianyu Du, Junkai Tong, Xuhong Zhang, Kingsum Chow, Sheng Cheng, Xun Wang, Jianwei Yin

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

Comments To Appear in the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Preference-Guided Refactored Tuning for Retrieval Augmented Code Generation

Xinyu Gao, Yun Xiong, Deze Wang, Zhenhan Guan, Zejian Shi, Haofen Wang, Shanshan Li

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

Comments ASE2024

GraphCoder: Enhancing Repository-Level Code Completion via Code Context Graph-based Retrieval and Language Model

Wei Liu, Ailun Yu, Daoguang Zan, Bo Shen, Wei Zhang, Haiyan Zhao, Zhi Jin, Qianxiang Wang

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

CodeScore: Evaluating Code Generation by Learning Code Execution

Yihong Dong, Jiazheng Ding, Xue Jiang, Ge Li, Zhuo Li, Zhi Jin

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

Comments Accepted to TOSEM

The Impact of Generative AI-Powered Code Generation Tools on Software Engineer Hiring: Recruiters' Experiences, Perceptions, and Strategies

Alyssia Chen, Timothy Huo, Yunhee Nam, Dan Port, Anthony Peruma

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

Comments This paper was accepted for publication at the 58th Hawaii International Conference on System Sciences (HICSS) - Software Technology Track