代码大模型 / AI 编程

GPT-4.1 Sets the Standard in Automated Experiment Design Using Novel Python Libraries

Nuno Fachada, Daniel Fernandes, Carlos M. Fernandes, Bruno D. Ferreira-Saraiva, João P. Matos-Carvalho

机构 * Copelabs, Lusófona University（Copelabs与卢斯奥法纳大学） ； Center of Technology and Systems (UNINOVA-CTS) and Associated Lab of Intelligent Systems (LASI)（技术与系统中心（UNINOVA-CTS）及智能系统关联实验室） ； CICANT, Lusófona University（CICANT与卢斯奥法纳大学） 纠错

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

Comments The peer-reviewed version of this paper is published in Future Internet at https://doi.org/10.3390/fi17090412. This version is typeset by the author and differs only in pagination and typographical detail

Journal ref Future Internet. 2025; 17(9):412

How Do Humans Write Code? Large Models Do It the Same Way Too

Long Li, Xuzheng He, Haozhe Wang, Linlin Wang, Liang He

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

AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models

Cheng-Kai Yeh, Hsing-Wang Lee, Chung-Hung Kuo, Hen-Hsen Huang

机构 * Department of Mathematical Sciences National Chengchi University Taipei Taiwan（数学科学系 国立政治大学 台北 台湾） ； Department of Computer Science National Chengchi University Taipei Taiwan（计算机科学系 国立政治大学 台北 台湾） ； Institute of Information Science Academia Sinica Taipei Taiwan（信息科学研究所 中国学术院 台北 台湾） ； National Chengchi University（国立政治大学） 纠错

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

Comments 7 pages, accepted by CIKM 2025 as a short paper

Reinforcement Learning with Rubric Anchors

Zenan Huang, Yihong Zhuang, Guoshan Lu, Zeyu Qin, Haokai Xu, Tianyu Zhao, Ru Peng, Jiaqi Hu, Zhanming Shen, Xiaomeng Hu, Xijun Gu, Peiyi Tu, Jiaxin Liu, Wenyu Chen, Yuzhuo Fu, Zhiting Fan, Yanmei Gu, Yuanyuan Wang, Zhengkai Yang, Jianguo Li, Junbo Zhao

机构 * Inclusion AI ； Ant Group（蚂蚁集团） ； Zhejiang University（浙江大学） 纠错

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

Comments technical report

MiGrATe: Mixed-Policy GRPO for Adaptation at Test-Time

Peter Phan, Dhruv Agarwal, Kavitha Srinivas, Horst Samulowitz, Pavan Kapanipathi, Andrew McCallum

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

ASTRA: Autonomous Spatial-Temporal Red-teaming for AI Software Assistants

Xiangzhe Xu, Guangyu Shen, Zian Su, Siyuan Cheng, Hanxi Guo, Lu Yan, Xuan Chen, Jiasheng Jiang, Xiaolong Jin, Chengpeng Wang, Zhuo Zhang, Xiangyu Zhang

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

Comments The first two authors (Xiangzhe Xu and Guangyu Shen) contributed equally to this work

NeuroSync: Intent-Aware Code-Based Problem Solving via Direct LLM Understanding Modification

Wenshuo Zhang, Leixian Shen, Shuchang Xu, Jindu Wang, Jian Zhao, Huamin Qu, Linping Yuan

机构 * The Hong Kong University of Science and Technology（香港科学与技术大学） ； University of Waterloo（滑铁卢大学） 纠错

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

Comments Accepted in UIST 2025

Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint

Matthew G Crowson, Leo Celi A. Celi

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

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Juzheng Zhang, Jiacheng You, Ashwinee Panda, Tom Goldstein

机构 * University of Maryland（马里兰大学） ； Tsinghua University（清华大学） 纠错

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

Comments COLM 2025

Insights into resource utilization of code small language models serving with runtime engines and execution providers

Francisco Durán, Matias Martinez, Patricia Lago, Silverio Martínez-Fernández

机构 * Vrije Universiteit Amsterdam（阿姆斯特丹自由大学） 纠错

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

Comments Accepted in Journal of Systems and Software (JSS). For its published version refer to the Journal of JSS

ORANSight-2.0: Foundational LLMs for O-RAN

Pranshav Gajjar, Vijay K. Shah

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

ASPERA: A Simulated Environment to Evaluate Planning for Complex Action Execution

Alexandru Coca, Mark Gaynor, Zhenxing Zhang, Jianpeng Cheng, Bo-Hsiang Tseng, Pete Boothroyd, Héctor Martinez Alonso, Diarmuid Ó Séaghdha, Anders Johannsen

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

Comments 37 pages, 22 figures. To appear at ACL 2025

Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems

Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal

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

Comments Project Page: https://zaidkhan.me/EFAGen/

Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training

Mingjie Liu, Shizhe Diao, Jian Hu, Ximing Lu, Xin Dong, Hao Zhang, Alexander Bukharin, Shaokun Zhang, Jiaqi Zeng, Makesh Narsimhan Sreedhar, Gerald Shen, David Mosallanezhad, Di Zhang, Jonas Yang, June Yang, Oleksii Kuchaiev, Guilin Liu, Zhiding Yu, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong

机构 * NVIDIA 纠错

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

Comments 14 pages, 7 figures

hdl2v: A Code Translation Dataset for Enhanced LLM Verilog Generation

Charles Hong, Brendan Roberts, Huijae An, Alex Um, Advay Ratan, Yakun Sophia Shao

机构 * UC Berkeley（伯克利大学） 纠错

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

Comments Published at ACM/IEEE International Symposium on Machine Learning for CAD (MLCAD) 2025

Next Steps in LLM-Supported Java Verification

Samuel Teuber, Bernhard Beckert

机构 * Karlsruhe Institute of Technology（卡尔斯鲁厄理工学院） 纠错

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

Comments Accepted to NSE 2025, 1st International Workshop on Neuro-Symbolic Software Engineering (ICSE Workshop), 6 pages, 3 figures

Journal ref in IEEE/ACM International Workshop on Neuro-Symbolic Software Engineering, 2025, pp. 1-4

The Safety Reminder: A Soft Prompt to Reactivate Delayed Safety Awareness in Vision-Language Models

Peiyuan Tang, Haojie Xin, Xiaodong Zhang, Jun Sun, Qin Xia, Zijiang Yang

机构 * 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） ； School of Computer Science and Technology, University of Science and Technology of China（中国科学技术大学计算机科学与技术学院） ； School of Computing and Information Systems, Singapore Management University（新加坡管理学院计算与信息系统学院） 纠错

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

Comments 23 pages, 10 figures

Compute Optimal Scaling of Skills: Knowledge vs Reasoning

Nicholas Roberts, Niladri Chatterji, Sharan Narang, Mike Lewis, Dieuwke Hupkes

机构 * University of Wisconsin（威斯康星大学） ； GenAI at Meta（Meta 生成式人工智能） 纠错

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

Black-Box Adversarial Attacks on LLM-Based Code Completion

Slobodan Jenko, Niels Mündler, Jingxuan He, Mark Vero, Martin Vechev

机构 * Department of Computer Science, ETH Zurich, Switzerland（计算机科学系，苏黎世联邦理工学院） 纠错

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

Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs

Ravi Ghadia, Avinash Kumar, Gaurav Jain, Prashant Nair, Poulami Das

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

Comments Published in the Proceedings of the 42nd International Conference on Machine Learning (ICML), Vancouver, Canada

AutoML-Agent: A Multi-Agent LLM Framework for Full-Pipeline AutoML

Patara Trirat, Wonyong Jeong, Sung Ju Hwang

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

Comments ICML 2025, Project Page: https://deepauto-ai.github.io/automl-agent

AdaptiveStep: Automatically Dividing Reasoning Step through Model Confidence

Yuliang Liu, Junjie Lu, Zhaoling Chen, Chaofeng Qu, Jason Klein Liu, Chonghan Liu, Zefan Cai, Yunhui Xia, Li Zhao, Jiang Bian, Chuheng Zhang, Wei Shen, Zhouhan Lin

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

Comments ICML 2025

KnowCoder-X: Boosting Multilingual Information Extraction via Code

Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng

机构 * Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences（网络数据科学与技术重点实验室，计算技术研究所，中国科学院） ； State Key Laboratory of AI Safety（人工智能安全国家重点实验室） ； School of Computer Science, University of Chinese Academy of Sciences（中国科学院大学计算机科学学院） ； School of Software, Northeastern University（东北大学软件学院） ； School of Software, Peking University（北京大学软件学院） 纠错

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

Comments ACL 2025 Findings

DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs

Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun

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

Comments ICML2025 Spotlight

MLZero: A Multi-Agent System for End-to-end Machine Learning Automation

Haoyang Fang, Boran Han, Nick Erickson, Xiyuan Zhang, Su Zhou, Anirudh Dagar, Jiani Zhang, Ali Caner Turkmen, Cuixiong Hu, Huzefa Rangwala, Ying Nian Wu, Bernie Wang, George Karypis

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

VeriReason: Reinforcement Learning with Testbench Feedback for Reasoning-Enhanced Verilog Generation

Yiting Wang, Guoheng Sun, Wanghao Ye, Gang Qu, Ang Li

机构 * Department of Electrical Engineering, University of Maryland（电气工程系，马里兰大学） 纠错

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

Comments 11 pages, 2 figures

AKD : Adversarial Knowledge Distillation For Large Language Models Alignment on Coding tasks

Ilyas Oulkadda, Julien Perez

机构 * Laboratoire de Recherche de l'EPITA (LRE)（EPITA研究实验室） ； Department of XXX, University of YYY（YYY大学XXX系） ； School of ZZZ, Institute of WWW（WWW研究所ZZZ学院） 纠错

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

Syntactic and Semantic Control of Large Language Models via Sequential Monte Carlo

João Loula, Benjamin LeBrun, Li Du, Ben Lipkin, Clemente Pasti, Gabriel Grand, Tianyu Liu, Yahya Emara, Marjorie Freedman, Jason Eisner, Ryan Cotterell, Vikash Mansinghka, Alexander K. Lew, Tim Vieira, Timothy J. O'Donnell

机构 * MIT（麻省理工学院） ； ETH Zürich（苏黎世联邦理工学院） ； McGill（麦吉尔大学） ； Canada CIFAR AI Chair（加拿大 CIFAR 人工智能主席） ； Mila（蒙特利尔人工智能研究院） ； Johns Hopkins（约翰霍普金斯大学） ； Yale（耶鲁大学） ； ISI（信息科学研究所） 纠错

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

Comments 34 pages, 4 figures

Generating Pragmatic Examples to Train Neural Program Synthesizers

Saujas Vaduguru, Daniel Fried, Yewen Pu

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

Comments ICLR 2024

ChaosEater: Fully Automating Chaos Engineering with Large Language Models

Daisuke Kikuta, Hiroki Ikeuchi, Kengo Tajiri

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

Comments 114 pages (7 main), 11 figures. Project page: https://ntt-dkiku.github.io/chaos-eater