代码大模型 / AI 编程

VeriCoder: Enhancing LLM-Based RTL Code Generation through Functional Correctness Validation

Anjiang Wei, Huanmi Tan, Tarun Suresh, Daniel Mendoza, Thiago S. F. X. Teixeira, Ke Wang, Caroline Trippel, Alex Aiken

机构 * Stanford University（斯坦福大学） ； Carnegie Mellon University（卡内基梅隆大学） ； University of Illinois Urbana-Champaign（伊利诺伊大学厄巴纳-香槟分校） ； Intel Corporation（英特尔公司） ； Nanjing University（南京大学） 纠错

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

Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation

Haijian Ma, Daizong Liu, Xiaowen Cai, Pan Zhou, Yulai Xie

机构 * Huazhong University of Science and Technology（华中科技大学） ； Peking University（北京大学） 纠错

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

Comments 18pages,5 figures,emnlp

Self-Correcting Code Generation Using Small Language Models

Jeonghun Cho, Deokhyung Kang, Hyounghun Kim, Gary Geunbae Lee

机构 * Graduate School of Artificial Intelligence, POSTECH（人工智能研究生院，POSTECH） ； Department of Computer Science and Engineering, POSTECH（计算机科学与工程系，POSTECH） 纠错

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

Comments Accepted at EMNLP 2025 (Findings, long paper)

AutoMisty: A Multi-Agent LLM Framework for Automated Code Generation in the Misty Social Robot

Xiao Wang, Lu Dong, Sahana Rangasrinivasan, Ifeoma Nwogu, Srirangaraj Setlur, Venugopal Govindaraju

机构 * State University of New York at Buffalo（纽约州立大学布法罗分校） ； Department of Computer Science and Engineering, Amrita School of Computing, Amrita Vishwa Vidyapeetham（计算机科学与工程系，阿米特拉学校 computing，阿米特拉世界大学） 纠错

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

Comments Accepted by IROS 2025

DropLoRA: Sparse Low-Rank Adaptation for Parameter-Efficient Fine-Tuning

Haojie Zhang

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

Comments 8 pages

CelloAI: Leveraging Large Language Models for HPC Software Development in High Energy Physics

Mohammad Atif, Kriti Chopra, Ozgur Kilic, Tianle Wang, Zhihua Dong, Charles Leggett, Meifeng Lin, Paolo Calafiura, Salman Habib

机构 * Brookhaven National Laboratory（布鲁克海文国家实验室） ； Lawrence Berkeley National Laboratory（伯克利国家实验室） ； Argonne National Laboratory（阿贡国家实验室） 纠错

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

Comments 12 pages, 2 figures

MALMM: Multi-Agent Large Language Models for Zero-Shot Robotics Manipulation

Harsh Singh, Rocktim Jyoti Das, Mingfei Han, Preslav Nakov, Ivan Laptev

机构 * Mohamed bin Zayed University of Artificial Intelligence（穆罕默德·本·扎耶德人工智能大学） 纠错

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

Comments 48 pages

When Developer Aid Becomes Security Debt: A Systematic Analysis of Insecure Behaviors in LLM Coding Agents

Matous Kozak, Roshanak Zilouchian Moghaddam, Siva Sivaraman

机构 * Microsoft（微软公司） ； Czech Technical University in Prague（捷克技术大学） 纠错

专题命中 软件智能体 ：coding agent(title,abstract)；分类 cs.AI

Comments 15 pages

School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs

Mia Taylor, James Chua, Jan Betley, Johannes Treutlein, Owain Evans

专题命中 软件智能体 ：coding agent(abstract)；分类 cs.AI

Comments 42 pages, 26 figures

What Developers Ask to ChatGPT in GitHub Pull Requests? an Exploratory Study

Julyanara R. Silva, Carlos Eduardo C. Dantas, Marcelo A. Maia

专题命中 软件智能体 ：code generation(abstract)；分类 cs.SE

Comments 12 pages, 3 figures

Journal ref 12th Workshop on Software Visualization, Evolution and Maintenance, 2024

TMA-Adaptive FP8 Grouped GEMM: Eliminating Padding Requirements in Low-Precision Training and Inference on Hopper

Zhongling Su, Rong Fu, Weihan Cao, Jianfei Gao, Minxi Jin, Zhilin Pei, Hui Wang

专题命中 测试生成 ：repository(abstract)

WebMMU: A Benchmark for Multimodal Multilingual Website Understanding and Code Generation

Rabiul Awal, Mahsa Massoud, Aarash Feizi, Zichao Li, Suyuchen Wang, Christopher Pal, Aishwarya Agrawal, David Vazquez, Siva Reddy, Juan A. Rodriguez, Perouz Taslakian, Spandana Gella, Sai Rajeswar

机构 * ServiceNow ； Mila ； Université de Montréal（蒙特利尔大学） ； McGill University（麦吉尔大学） ； École de Technologie Supérieure (ETS)（高等技术学院） ； Polytechnique Montréal（蒙特利尔理工学院） 纠错

专题命中 代码评测 ：code generation(title,abstract)

Comments This paper has been accepted to the EMNLP 2025 main conference. Check the project page here: https://webmmu-paper.github.io/

MetaGen: A DSL, Database, and Benchmark for VLM-Assisted Metamaterial Generation

Liane Makatura, Benjamin Jones, Siyuan Bian, Wojciech Matusik

机构 * MIT CSAIL（麻省理工学院计算机科学与人工智能实验室） ； Shanghai Jiao Tong University（上海交通大学） 纠错

专题命中 代码评测 ：repository(abstract)；分类 cs.AI、cs.LG、cs.PL

Detecting and Characterizing Planning in Language Models

Jatin Nainani, Sankaran Vaidyanathan, Connor Watts, Andre N. Assis, Alice Rigg

专题命中 代码评测 ：code generation(abstract)；分类 cs.CL、cs.LG

Comments 9 pages, 4 figures

CBMAP: Clustering-based manifold approximation and projection for dimensionality reduction

Berat Dogan

专题命中 代码评测 ：repository(abstract)；分类 cs.LG

Comments 22 pages, 10 figures, 2 tables

Journal ref IEEE Access, Volume 13, 2025

Optimization-based Prompt Injection Attack to LLM-as-a-Judge

Jiawen Shi, Zenghui Yuan, Yinuo Liu, Yue Huang, Pan Zhou, Lichao Sun, Neil Zhenqiang Gong

机构 * Huazhong University of Science and Technology（华中科技大学） ； University of Notre Dame（圣母大学） ； Lehigh University（莱文森大学） ； Duke University（杜克大学） 纠错

专题命中 代码评测 ：repository(abstract)；分类 cs.AI

Comments To appear in the Proceedings of The ACM Conference on Computer and Communications Security (CCS), 2024

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping

Vineet Bhat, Naman Patel, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami

机构 * New York University Tandon School of Engineering（纽约大学Tandon工程学院） 纠错

专题命中 代码评测 ：repository(abstract)

RepoTransAgent: Multi-Agent LLM Framework for Repository-Aware Code Translation

Ziqi Guan, Xin Yin, Zhiyuan Peng, Chao Ni

专题命中 仓库级理解 ：repository(title,abstract)；分类 cs.SE

RepoMaster: Autonomous Exploration and Understanding of GitHub Repositories for Complex Task Solving

Huacan Wang, Ziyi Ni, Shuo Zhang, Shuo Lu, Sen Hu, Ziyang He, Chen Hu, Jiaye Lin, Yifu Guo, Ronghao Chen, Xin Li, Daxin Jiang, Yuntao Du, Pin Lyu

机构 * UCAS（中国科学技术大学） ； CASIA（中国科学院自动化研究所） ； BUPT（北京邮电大学） ； PKU（北京大学） ； NUS（新加坡国立大学） ； StepFun ； THU（清华大学） ； SCNU（华南师范大学） ； USTC（中国科学技术大学） ； SDU（山东大学） 纠错

专题命中 仓库级理解 ：code generation(abstract)；repository(abstract)；分类 cs.SE、cs.AI

Comments A novel approach; Very practical

Debian in the Research Software Ecosystem: A Bibliometric Analysis

Joenio Marques da Costa, Christina von Flach

专题命中 仓库级理解 ：repository(abstract)；分类 cs.SE

Comments 5 pages; 3 figures; 2 tables; to be published in DebConf25 Academic Track https://www.diverse-team.fr/debconf25-academictrack

Information availability in different languages and various technological constraints related to multilinguism on the Internet

Sonal Khosla, Haridasa Acharya

专题命中 仓库级理解 ：repository(abstract)；分类 cs.CL

Comments International Journal of Computer Applications

Citizen Centered Climate Intelligence: Operationalizing Open Tree Data for Urban Cooling and Eco-Routing in Indian Cities

Kaushik Ravi, Andreas Brück

专题命中 仓库级理解 ：repository(abstract)；分类 cs.LG

Comments Forthcoming book chapter, currently under review for the "HackYourDistrict" initiative at TU Berlin. 20 pages, 9 figures, 1 table

The AI Model Risk Catalog: What Developers and Researchers Miss About Real-World AI Harms

Pooja S. B. Rao, Sanja Šćepanović, Dinesh Babu Jayagopi, Mauro Cherubini, Daniele Quercia

专题命中 仓库级理解 ：repository(abstract)；分类 cs.AI

Comments Accepted to AIES 2025

Hyperbolic Graph Neural Networks: A Review of Methods and Applications

Menglin Yang, Min Zhou, Tong Zhang, Jiahong Liu, Zhihao Li, Lujia Pan, Hui Xiong, Irwin King

机构 * Hong Kong University of Science and Technology (Guangzhou)（香港科技大学（广州）） ； Huawei Technologies Co., Ltd.（华为技术有限公司） ； The Chinese University of Hong Kong（香港中文大学） ； Zhejiang University（浙江大学） 纠错

专题命中 仓库级理解 ：repository(abstract)；分类 cs.LG

Comments The latest draft was circulated under the title "Hyperbolic Graph Learning: A Comprehensive Review." The present arXiv version retains the original title, "Hyperbolic Graph Neural Networks: A Review of Methods and Applications," for consistency, while incorporating substantial revisions and extensions

QUEENS: An Open-Source Python Framework for Solver-Independent Analyses of Large-Scale Computational Models

Jonas Biehler, Jonas Nitzler, Sebastian Brandstaeter, Maximilian Dinkel, Volker Gravemeier, Lea J. Haeusel, Gil Robalo Rei, Harald Willmann, Barbara Wirthl, Wolfgang A. Wall

专题命中 仓库级理解 ：repository(abstract,comments)

Comments 17 pages, 6 figures, one Github repository https://github.com/queens-py/queens