代码大模型 / AI 编程

Rethinking Verification for LLM Code Generation: From Generation to Testing

Zihan Ma, Taolin Zhang, Maosong Cao, Junnan Liu, Wenwei Zhang, Minnan Luo, Songyang Zhang, Kai Chen

机构 * Shanghai AI Laboratory（上海人工智能实验室） ； School of Computer Science and Technology, Xi’an Jiaotong University（西安交通大学计算机科学与技术学院） ； MOE KLINNS Lab, Xi’an Jiaotong University（西安交通大学教育部KLINNS实验室） 纠错

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

Are They All Good? Evaluating the Quality of CoTs in LLM-based Code Generation

Binquan Zhang, Li Zhang, Zhiwen Luo, Yuxin Du, Fang Liu, Song Wang, Lin Shi

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

Performance Evaluation of General Purpose Large Language Models for Basic Linear Algebra Subprograms Code Generation

Daichi Mukunoki, Shun-ichiro Hayashi, Tetsuya Hoshino, Takahiro Katagiri

机构 * Information Technology Center\ University Nagoya, Aichi 466-8601 Email ； Graduate School of Informatics\ University Nagoya, Aichi 466-8601 Email 纠错

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

Comments 8 pages, 6 tables

ChartCoder: Advancing Multimodal Large Language Model for Chart-to-Code Generation

Xuanle Zhao, Xianzhen Luo, Qi Shi, Chi Chen, Shuo Wang, Zhiyuan Liu, Maosong Sun

机构 * Tsinghua University, Beijing, China（清华大学） ； Harbin Institute of Technology（哈尔滨工业大学） 纠错

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

Comments Accepted by ACL 2025 Main, Camera Ready

MCCoder: Streamlining Motion Control with LLM-Assisted Code Generation and Rigorous Verification

Yin Li, Liangwei Wang, Shiyuan Piao, Boo-Ho Yang, Ziyue Li, Wei Zeng, Fugee Tsung

机构 * Thrust of Data Science and Analytics, The Hong Kong University of Science and Technology (Guangzhou)（数据科学与分析 thrust，香港科学与技术大学（广州）） ； Department of Industrial Engineering and Decision Analytics, The Hong Kong University of Science and Technology（工业工程与决策分析系，香港科学与技术大学） ； MOVENSYS Inc.（MOVENSYS公司） ； University of Cologne（科隆大学） 纠错

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

Comments IEEE CASE 2025 Best Student Paper Finalists

Assessing Correctness in LLM-Based Code Generation via Uncertainty Estimation

Arindam Sharma, Cristina David

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

Comments 18 pages and 3 References Pages

Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation

Hao Yan, Swapneel Suhas Vaidya, Xiaokuan Zhang, Ziyu Yao

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

L2MAC: Large Language Model Automatic Computer for Extensive Code Generation

Samuel Holt, Max Ruiz Luyten, Mihaela van der Schaar

机构 * University of Cambridge（剑桥大学） 纠错

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

Comments Published in The Twelfth International Conference on Learning Representations (ICLR), 2024. Copyright 2023 by the author(s)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation

Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang

机构 * Apple（苹果公司） ； The University of Hong Kong（香港大学） 纠错

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

Comments minor update

CodeLutra: Boosting LLM Code Generation via Preference-Guided Refinement

Leitian Tao, Xiang Chen, Tong Yu, Tung Mai, Ryan Rossi, Yixuan Li, Saayan Mitra

机构 * University of Wisconsin-Madison（威斯康星大学麦迪逊分校） ； Adobe Research（Adobe研究） 纠错

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

Comments TMLR 2025

DesignCoder: Hierarchy-Aware and Self-Correcting UI Code Generation with Large Language Models

Yunnong Chen, Shixian Ding, YingYing Zhang, Wenkai Chen, Jinzhou Du, Lingyun Sun, Liuqing Chen

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

Comments 11 pages,6 figures

Chain-of-Code Collapse: Reasoning Failures in LLMs via Adversarial Prompting in Code Generation

Jaechul Roh, Varun Gandhi, Shivani Anilkumar, Arin Garg

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

Less is More: DocString Compression in Code Generation

Guang Yang, Yu Zhou, Wei Cheng, Xiangyu Zhang, Xiang Chen, Terry Yue Zhuo, Ke Liu, Xin Zhou, David Lo, Taolue Chen

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

Comments TOSEM

Program Synthesis from Partial Traces

Margarida Ferreira, Victor Nicolet, Joey Dodds, Daniel Kroening

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

Comments To appear at PLDI 2025 (46th ACM SIGPLAN Conference on Programming Language Design and Implementation)

Reinforcing Code Generation: Improving Text-to-SQL with Execution-Based Learning

Atharv Kulkarni, Vivek Srikumar

机构 * University of Utah（犹他大学） 纠错

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

Comments Under review at EMNLP 2025

Focused-DPO: Enhancing Code Generation Through Focused Preference Optimization on Error-Prone Points

Kechi Zhang, Ge Li, Jia Li, Yihong Dong, Jia Li, Zhi Jin

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

Comments Camera Ready version for ACL 2025 (Findings)

CodeDPO: Aligning Code Models with Self Generated and Verified Source Code

Kechi Zhang, Ge Li, Yihong Dong, Jingjing Xu, Jun Zhang, Jing Su, Yongfei Liu, Zhi Jin

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

Comments Camera Ready version for ACL 2025 (main)

Exploring Prompt Patterns in AI-Assisted Code Generation: Towards Faster and More Effective Developer-AI Collaboration

Sophia DiCuffa, Amanda Zambrana, Priyanshi Yadav, Sashidhar Madiraju, Khushi Suman, Eman Abdullah AlOmar

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

Tadashi: Enabling AI-Based Automated Code Generation With Guaranteed Correctness

Emil Vatai, Aleksandr Drozd, Ivan R. Ivanov, Joao E. Batista, Yinghao Ren, Mohamed Wahib

机构 * RIKEN Center for Computational Science（日本计算科学中心） 纠错

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

Comments Submitted to SC25

ReChisel: Effective Automatic Chisel Code Generation by LLM with Reflection

Juxin Niu, Xiangfeng Liu, Dan Niu, Xi Wang, Zhe Jiang, Nan Guan

机构 * Department of Computer Science, City University of Hong Kong（香港城市大学计算机科学系） ； School of Computer Science and Engineering, Northeastern University（东北大学计算机科学与工程学院） ； School of Automation, Southeast University（东南大学自动化学院） ； National Center of Technology Innovation for EDA, China（中国EDA技术创新国家中心） ； School of Integrated Circuits, Southeast University（东南大学集成电路学院） 纠错

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

Comments Accepted to DAC 2025

UICopilot: Automating UI Synthesis via Hierarchical Code Generation from Webpage Designs

Yi Gui, Zhen Li, Zhongyi Zhang, Yao Wan, Dongping Chen, Hongyu Zhang, Yi Su, Bohua Chen, Xing Zhou, Wenbin Jiang, Xiangliang Zhang

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

Comments WWW' 2025

Bridging the Language Gap: Enhancing Multilingual Prompt-Based Code Generation in LLMs via Zero-Shot Cross-Lingual Transfer

Mingda Li, Abhijit Mishra, Utkarsh Mujumdar

机构 * Department of Statistics and Data Science, Yale University（耶鲁大学统计与数据科学系） ； School of Information, University of Texas at Austin（德克萨斯大学奥斯汀分校信息学院） 纠错

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

Comments Accepted and to appear in IJCNN 2025

CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain

Lingxiang Wang, Hainan Zhang, Qinnan Zhang, Ziwei Wang, Hongwei Zheng, Jin Dong, Zhiming Zheng

机构 * State Key Laboratory of Complex & Critical Software Environment, Beihang University（复杂与关键软件环境国家重点实验室，北京航空航天大学） ； School of Artificial Intelligence, Beihang University（人工智能学院，北京航空航天大学） ； Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing（未来区块链与隐私计算北京先进创新中心） ； Beijing Academy of Blockchain and Edge Computing, BABEC（区块链与边缘计算北京研究院，BABEC） 纠错

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

AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation

Hao Wen, Shizuo Tian, Borislav Pavlov, Wenjie Du, Yixuan Li, Ge Chang, Shanhui Zhao, Jiacheng Liu, Yunxin Liu, Ya-Qin Zhang, Yuanchun Li

机构 * Institute for AI Industry Research (AIR), Tsinghua University（人工智能产业研究院（AIR），清华大学） ； Shanghai Artificial Intelligence Laboratory（上海人工智能实验室） ； Beijing Academy of Artificial Intelligence (BAAI)（北京人工智能研究院） 纠错

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

Comments 13 pages, 5 figures

ReasoningV: Efficient Verilog Code Generation with Adaptive Hybrid Reasoning Model

Haiyan Qin, Zhiwei Xie, Jingjing Li, Liangchen Li, Xiaotong Feng, Junzhan Liu, Wang Kang

机构 * National Key Laboratory of Spintronics, Hangzhou International Innovation Institute（国家磁电子重点实验室、杭州国际创新研究院） ； School of Integrated Circuit Science and Engineering, Beihang University（集成电路科学与工程学院、北京航空航天大学） 纠错

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

Comments 9 pages, 4 figures

Give LLMs a Security Course: Securing Retrieval-Augmented Code Generation via Knowledge Injection

Bo Lin, Shangwen Wang, Yihao Qin, Liqian Chen, Xiaoguang Mao

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

Inducing Vulnerable Code Generation in LLM Coding Assistants

Binqi Zeng, Quan Zhang, Chijin Zhou, Gwihwan Go, Yu Jiang, Heyuan Shi

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

Data-efficient LLM Fine-tuning for Code Generation

Weijie Lv, Xuan Xia, Sheng-Jun Huang

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

Comments arXiv admin note: text overlap with arXiv:2408.02193

RETROcode: Leveraging a Code Database for Improved Natural Language to Code Generation

Nathanaël Beau, Benoît Crabbé

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

What Makes Large Language Models Reason in (Multi-Turn) Code Generation?

Kunhao Zheng, Juliette Decugis, Jonas Gehring, Taco Cohen, Benjamin Negrevergne, Gabriel Synnaeve

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

Comments Published as a conference paper at ICLR 2025