代码大模型 / AI 编程 - arXivDaily 专题

2509.24160 2025-09-30 cs.RO cs.AI cs.LG 62%

Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation

Tomoyuki Kagaya, Subramanian Lakshmi, Yuxuan Lou, Thong Jing Yuan, Jayashree Karlekar, Sugiri Pranata, Natsuki Murakami, Akira Kinose, Yang You

机构 * Panasonic Connect Co., Ltd.（松下电器（控股）公司）； Panasonic R&D Center（松下研发中心）； National University of Singapore（新加坡国立大学）

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

2505.18777 2025-09-29 cs.LG cs.AI 62%

HD-PiSSA: High-Rank Distributed Orthogonal Adaptation

Yiding Wang, Fauxu Meng, Xuefeng Zhang, Fan Jiang, Pingzhi Tang, Muhan Zhang

机构 * Institute for Artificial Intelligence, Peking University（人工智能学院，北京大学）； Yuanpei College, Peking University（元培学院，北京大学）； State Key Laboratory of General Artificial Intelligence, BIGAI（通用人工智能国家重点实验室，BIGAI）

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

2504.16331 2025-09-29 cs.SE cs.LG 62%

Can Code Language Models Learn Clarification-Seeking Behaviors?

Jie JW Wu, Manav Chaudhary, Davit Abrahamyan, Arhaan Khaku, Anjiang Wei, Fatemeh H. Fard

机构 * Michigan Technological University（密歇根技术大学）； Indian Institute of Information Technology (IIIT)（印度信息科技研究所）； University of California, San Diego (UCSD)（加州大学圣地亚哥分校）； University of British Columbia（不列颠哥伦比亚大学）； Stanford University（斯坦福大学）

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

2509.20426 2025-09-26 cs.PL cs.SE 62%

Dual-Language General-Purpose Self-Hosted Visual Language and new Textual Programming Language for Applications

Mahmoud Samir Fayed

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

Comments PhD thesis

2509.18158 2025-09-26 cs.CL cs.LG 62%

ZERA: Zero-init Instruction Evolving Refinement Agent -- From Zero Instructions to Structured Prompts via Principle-based Optimization

Seungyoun Yi, Minsoo Khang, Sungrae Park

机构 * Upstage AI Research（Upstage人工智能研究院）

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

Comments 9 pages, 4 figures. To appear in EMNLP 2025 Main Conference (Oral Presentation)

2509.15754 2025-09-25 cs.CR cs.PL cs.SE 62%

Hornet Node and the Hornet DSL: A Minimal, Executable Specification for Bitcoin Consensus

Toby Sharp

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

2509.17070 2025-09-23 cs.CR cs.CL cs.LG 62%

Localizing Malicious Outputs from CodeLLM

Mayukh Borana, Junyi Liang, Sai Sathiesh Rajan, Sudipta Chattopadhyay

机构 * Singapore University of Technology and Design（新加坡科技设计大学）

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

Comments 10 pages, 2 figures, 6 tables, Accepted at EMNLP 2025 Findings

2501.08406 2025-09-23 cs.HC cs.CL cs.LG math.OC 62%

OptiChat: Bridging Optimization Models and Practitioners with Large Language Models

Hao Chen, Gonzalo Esteban Constante-Flores, Krishna Sri Ipsit Mantri, Sai Madhukiran Kompalli, Akshdeep Singh Ahluwalia, Can Li

机构 * Davidson School of Chemical Engineering（大卫逊化学工程学院）； Purdue University（普渡大学）

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

2509.13755 2025-09-18 cs.SE cs.AI cs.CR 62%

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning

Zhaoyang Chu, Yao Wan, Zhikun Zhang, Di Wang, Zhou Yang, Hongyu Zhang, Pan Zhou, Xuanhua Shi, Hai Jin, David Lo

机构 * Huazhong University of Science and Technology（华中科技大学）； Zhejiang University（浙江大学）； King Abdullah University of Science and Technology（国王阿卜杜勒阿齐兹大学）； University of Alberta（阿尔伯塔大学）； Chongqing University（重庆大学）； Singapore Management University（新加坡管理学院）

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

Comments Accepted at the 48th IEEE/ACM International Conference on Software Engineering (ICSE 2026)

2509.12937 2025-09-17 cs.CR cs.AI cs.CL 62%

Jailbreaking Large Language Models Through Content Concretization

Johan Wahréus, Ahmed Hussain, Panos Papadimitratos

机构 * Networked Systems Security (NSS) Group（网络系统安全组）； KTH Royal Institute of Technology（皇家理工学院）

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

Comments Accepted for presentation in the Conference on Game Theory and AI for Security (GameSec) 2025

2411.03562 2025-09-16 cs.LG cs.AI 62%

Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance

Antoine Grosnit, Alexandre Maraval, Refinath S N, Zichao Zhao, James Doran, Giuseppe Paolo, Albert Thomas, Jonas Gonzalez, Abhineet Kumar, Khyati Khandelwal, Abdelhakim Benechehab, Hamza Cherkaoui, Youssef Attia El-Hili, Kun Shao, Jianye Hao, Jun Yao, Balázs Kégl, Haitham Bou-Ammar, Jun Wang

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

2509.10946 2025-09-16 cs.SE cs.AI 62%

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning

Roberto Morabito, Guanghan Wu

机构 * University of Helsinki（赫尔辛基大学）

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

Comments This paper has been accepted for publication in Computer (IEEE). Upon publication, the copyright will be transferred to IEEE

2503.23231 2025-09-16 cs.SE cs.AI 62%

CCCI: Code Completion with Contextual Information for Complex Data Transfer Tasks Using Large Language Models

Hangzhan Jin, Mohammad Hamdaqa

机构 * PolyTechnique Montréal（蒙特利尔理工学院）

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

Comments The 29th International Conference on Evaluation and Assessment in Software Engineering

Journal ref The 29th International Conference on Evaluation and Assessment in Software Engineering (EASE 2025)

2509.10099 2025-09-15 cs.SE cs.AI 62%

Generating Energy-Efficient Code via Large-Language Models -- Where are we now?

Radu Apsan, Vincenzo Stoico, Michel Albonico, Rudra Dhar, Karthik Vaidhyanathan, Ivano Malavolta

机构 * Vrije Universiteit Amsterdam（阿姆斯特丹自由大学）； Federal University of Technology of Paraná (UTFPR)（巴西南里尔联邦技术大学）； IIIT Hyderabad（海得拉巴国家理工学院）

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

2509.09707 2025-09-15 cs.NE cs.AI cs.CL 62%

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm

Camilo Chacón Sartori, Martín Isla Pino, Pedro Pinacho-Davidson, Christian Blum

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

Comments Submitted to a journal for review

2502.07128 2025-09-10 cs.CL cs.AI cs.MM 62%

Cardiverse: Harnessing LLMs for Novel Card Game Prototyping

Danrui Li, Sen Zhang, Sam S. Sohn, Kaidong Hu, Muhammad Usman, Mubbasir Kapadia

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

Comments 37 pages, 13 figures, 8 tables. Accepted by EMNLP 2025

2508.19268 2025-09-09 cs.CL cs.AI 62%

MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts

Qing Wang, Xue Han, Jiahui Wang, Lehao Xing, Qian Hu, Lianlian Zhang, Chao Deng, Junlan Feng

机构 * China Mobile Research Institute（中国移动研究院）

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

2502.18658 2025-09-09 cs.HC cs.AI cs.SE 62%

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

Kevin Pu, Daniel Lazaro, Ian Arawjo, Haijun Xia, Ziang Xiao, Tovi Grossman, Yan Chen

机构 * University of Toronto（多伦多大学）； University of California San Diego（加州大学圣地亚哥分校）； Johns Hopkins University（约翰霍普金斯大学）

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

2509.05160 2025-09-08 cs.PL cs.SE 62%

AI-Assisted Modeling: DSL-Driven AI Interactions

Steven Smyth, Daniel Busch, Moez Ben Haj Hmida, Edward A. Lee, Bernhard Steffen

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

Comments 7 pages, 4 figures

2502.09061 2025-09-08 cs.PL cs.LG 62%

CRANE: Reasoning with constrained LLM generation

Debangshu Banerjee, Tarun Suresh, Shubham Ugare, Sasa Misailovic, Gagandeep Singh

机构 * Department of Computer Science, University of Illinois Urbana-Champaign, USA（计算机科学系，伊利诺伊大学厄巴纳-香槟分校）

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

Comments Accepted at ICML 2025, Code at: https://github.com/uiuc-focal-lab/CRANE

2509.03871 2025-09-05 cs.CL cs.AI cs.CR 62%

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models

Yanbo Wang, Yongcan Yu, Jian Liang, Ran He

机构 * School of Artificial Intelligence, University of Chinese Academy of Sciences（人工智能学院，中国科学院大学）； NLPR & MAIS, Institute of Automation, Chinese Academy of Sciences（神经语言处理与机器智能中心，中国科学院自动化研究所）

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

Comments 38 pages. This survey considers papers published up to June 30, 2025. Work in progress

2509.00272 2025-09-03 cs.AI cs.SE 62%

SHERPA: A Model-Driven Framework for Large Language Model Execution

Boqi Chen, Kua Chen, José Antonio Hernández López, Gunter Mussbacher, Dániel Varró, Amir Feizpour

机构 * Electrical and Computer Engineering, McGill University, Canada（麦吉尔大学电气与计算机工程系）； Department of Computer Science and Systems, University of Murcia, Spain（穆尔西亚大学计算机科学与系统系）； Aggregate Intellect Inc., Canada（聚合智力公司）

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

Comments MODELS 2025

2509.00079 2025-09-03 cs.AI cs.LG 62%

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation

Andrew G. A. Correa, Ana C. H de Matos

机构 * Monostate（莫诺态）

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

Comments 9 pages, 2 figures, 4 tables

2508.19321 2025-08-28 cs.CR cs.AI cs.CL 62%

An Investigation on Group Query Hallucination Attacks

Kehao Miao, Xiaolong Jin

机构 * University of Science and Technology of China（中国科学技术大学）； Purdue University（帕克大学）

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

2508.19279 2025-08-28 cs.CL cs.AI 62%

FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series

Gunjan Jalori, Preetika Verma, Sercan Ö Arık

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

Comments EMNLP

2508.17337 2025-08-26 cs.CL cs.LG 62%

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

2508.16713 2025-08-26 cs.SE cs.AI hep-ex 62%

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）

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

Comments 12 pages, 2 figures

2408.04125 2025-08-20 cs.SE cs.CR cs.LG 62%

VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Seyed Shayan Daneshvar, Yu Nong, Xu Yang, Shaowei Wang, Haipeng Cai

机构 * University of Manitoba（曼尼托巴大学）； Washington State University（华盛顿州立大学）； University at Buffalo（布法罗大学）

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

Comments Accepted by TOSEM; 26 pages, 6 figures, 8 tables, 3 prompt templates, 1 algorithm

2508.12358 2025-08-19 cs.SE cs.AI 62%

Uncovering Systematic Failures of LLMs in Verifying Code Against Natural Language Specifications

Haolin Jin, Huaming Chen

机构 * University of Sydney（悉尼大学）

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

Comments Accepted to the NIER track of the 40th IEEE/ACM International Conference on Automated Software Engineering (ASE 2025)

2508.11824 2025-08-19 cs.SE cs.AI cs.CR cs.PF 62%

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering

Satyam Kumar Navneet, Joydeep Chandra

机构 * Department of CSE Chandigarh University Mohali, India（计算机科学与工程系奇纳格里大学莫哈利，印度）； Department of CST Tsinghua University Beijing, China（计算机科学与技术系清华大学北京，中国）

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

1. 代码生成 4113 篇

Memory Transfer Planning: LLM-driven Context-Aware Code Adaptation for Robot Manipulation

HD-PiSSA: High-Rank Distributed Orthogonal Adaptation

Can Code Language Models Learn Clarification-Seeking Behaviors?

Dual-Language General-Purpose Self-Hosted Visual Language and new Textual Programming Language for Applications

ZERA: Zero-init Instruction Evolving Refinement Agent -- From Zero Instructions to Structured Prompts via Principle-based Optimization

Hornet Node and the Hornet DSL: A Minimal, Executable Specification for Bitcoin Consensus

Localizing Malicious Outputs from CodeLLM

OptiChat: Bridging Optimization Models and Practitioners with Large Language Models

Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning

Jailbreaking Large Language Models Through Content Concretization

Kolb-Based Experiential Learning for Generalist Agents with Human-Level Kaggle Data Science Performance

When the Code Autopilot Breaks: Why LLMs Falter in Embedded Machine Learning

CCCI: Code Completion with Contextual Information for Complex Data Transfer Tasks Using Large Language Models

Generating Energy-Efficient Code via Large-Language Models -- Where are we now?

LLM-Based Instance-Driven Heuristic Bias In the Context of a Biased Random Key Genetic Algorithm

Cardiverse: Harnessing LLMs for Novel Card Game Prototyping

MultiPL-MoE: Multi-Programming-Lingual Extension of Large Language Models through Hybrid Mixture-of-Experts

Assistance or Disruption? Exploring and Evaluating the Design and Trade-offs of Proactive AI Programming Support

AI-Assisted Modeling: DSL-Driven AI Interactions

CRANE: Reasoning with constrained LLM generation

A Comprehensive Survey on Trustworthiness in Reasoning with Large Language Models

SHERPA: A Model-Driven Framework for Large Language Model Execution

Entropy-Guided Loop: Achieving Reasoning through Uncertainty-Aware Generation

An Investigation on Group Query Hallucination Attacks

FLAIRR-TS -- Forecasting LLM-Agents with Iterative Refinement and Retrieval for Time Series

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

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

VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Uncovering Systematic Failures of LLMs in Verifying Code Against Natural Language Specifications

Rethinking Autonomy: Preventing Failures in AI-Driven Software Engineering