代码大模型 / AI 编程

Accelerated Execution of Bayesian Neural Networks using a Single Probabilistic Forward Pass and Code Generation

利用单次概率前向传递和代码生成加速贝叶斯神经网络

Bernhard Klein, Falk Selker, Hendrik Borras, Sophie Steger, Franz Pernkopf, Holger Fröning

机构 * Heidelberg University（海德堡大学） ； Graz University of Technology（格拉茨技术大学） 纠错

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

AI总结 本文提出一种基于概率前向传递和代码生成的方法，显著提升贝叶斯神经网络在嵌入式系统中的计算效率和部署性能。

Chart2Code-MoLA: Efficient Multi-Modal Code Generation via Adaptive Expert Routing

Chart2Code-MoLA: 通过自适应专家路由实现高效的多模态代码生成

Yifei Wang, Jacky Keung, Zhenyu Mao, Jingyu Zhang, Yuchen Cao

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

AI总结 Chart2Code-MoLA通过自适应专家路由实现高效多模态代码生成，提升生成准确性、降低内存消耗并加速收敛。

Secure-Instruct: An Automated Pipeline for Synthesizing Instruction-Tuning Datasets Using LLMs for Secure Code Generation

Secure-Instruct: 一种利用LLM合成指令微调数据集的自动化流程，用于安全代码生成

Junjie Li, Fazle Rabbi, Bo Yang, Song Wang, Jinqiu Yang

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

AI总结 Secure-Instruct通过自动化合成安全代码示例和指令微调LLM，提升代码生成的安全性和功能性正确性。

GenSIaC: Toward Security-Aware Infrastructure-as-Code Generation with Large Language Models

Yikun Li, Matteo Grella, Daniel Nahmias, Gal Engelberg, Dan Klein, Giancarlo Guizzardi, Thijs van Ede, Andrea Continella

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

Evaluating Software Process Models for Multi-Agent Class-Level Code Generation

Wasique Islam Shafin, Md Nakhla Rafi, Zhenhao Li, Tse-Hsun Chen

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

Retriv at BLP-2025 Task 2: Test-Driven Feedback-Guided Framework for Bangla-to-Python Code Generation

K M Nafi Asib, Sourav Saha, Mohammed Moshiul Hoque

机构 * Department of Computer Science and Engineering（计算机科学与工程系） 纠错

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

Comments 8 pages, 1 figure, experimental scripts publicly available at https://github.com/NafiAsib/Retriv-BLP25-Task-2

DRIVE: Data Curation Best Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation

Speed Zhu, Jianwei Cai, Guang Chen, Lulu Wu, Saiyong Yang, Wiggin Zhou

机构 * Hunyuan Team, Tencent（腾讯 Hunyuan 团队） 纠错

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

Comments 15 pages, 8 figures

PSD2Code: Automated Front-End Code Generation from Design Files via Multimodal Large Language Models

Yongxi Chen, Lei Chen

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

Towards Realistic Project-Level Code Generation via Multi-Agent Collaboration and Semantic Architecture Modeling

Qianhui Zhao, Li Zhang, Fang Liu, Junhang Cheng, Chengru Wu, Junchen Ai, Qiaoyuanhe Meng, Lichen Zhang, Xiaoli Lian, Shubin Song, Yuanping Guo

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

Execution Guided Line-by-Line Code Generation

Boaz Lavon, Shahar Katz, Lior Wolf

机构 * Blavatnik School of Computer Science and AI, Tel Aviv University（巴尔-以色列计算机科学与人工智能学院，特拉维夫大学） 纠错

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

Comments Accepted to NeurIPS 2026

SEER: Enhancing Chain-of-Thought Code Generation through Self-Exploring Deep Reasoning

Shuzheng Gao, Chaozheng Wang, Cuiyun Gao, Michael R. Lyu

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

Comments The paper was completed in Feb. 2025, submitted to ICSE 2026 in Mar. 2025, received a major revision in Jun. 2025, and was finally accepted in Oct. 2025

QuanBench: Benchmarking Quantum Code Generation with Large Language Models

Xiaoyu Guo, Minggu Wang, Jianjun Zhao

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

Comments This paper was accepted by ASE2025

Online automatic code generation for robot swarms: LLMs and self-organizing hierarchy

Weixu Zhu, Marco Dorigo, Mary Katherine Heinrich

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

Comments This abstract was accepted to and presented at the "Multi-Agent Cooperative Systems and Swarm Robotics in the Era of Generative AI" (MACRAI) workshop at the 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025)

Self-planning Code Generation with Large Language Models

Xue Jiang, Yihong Dong, Lecheng Wang, Zheng Fang, Qiwei Shang, Ge Li, Zhi Jin, Wenpin Jiao

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

Comments Accepted by TOSEM

A11YN: aligning LLMs for accessible web UI code generation

Janghan Yoon, Jaegwan Cho, Junhyeok Kim, Jiwan Chung, Jaehyun Jeon, Youngjae Yu

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

A Matter of Representation: Towards Graph-Based Abstract Code Generation

Nyx Iskandar, Hisham Bedri, Andy Tsen

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

GeoJSEval: An Automated Evaluation Framework for Large Language Models on JavaScript-Based Geospatial Computation and Visualization Code Generation

Guanyu Chen, Haoyue Jiao, Shuyang Hou, Ziqi Liu, Lutong Xie, Shaowen Wu, Huayi Wu, Xuefeng Guan, Zhipeng Gui

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

Journal ref 2025

Toward Green Code: Prompting Small Language Models for Energy-Efficient Code Generation

Humza Ashraf, Syed Muhammad Danish, Shadikur Rahman, Zeeshan Sattar

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

DeepV: A Model-Agnostic Retrieval-Augmented Framework for Verilog Code Generation with a High-Quality Knowledge Base

Zahin Ibnat, Paul E. Calzada, Rasin Mohammed Ihtemam, Sujan Kumar Saha, Jingbo Zhou, Farimah Farahmandi, Mark Tehranipoor

机构 * University of Florida（佛罗里达大学） 纠错

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

Comments 22 pages, 6 figures

GramTrans: A Better Code Representation Approach in Code Generation

Zhao Zhang, Qingyuan Liang, Zeyu Sun, Yizhou Chen, Guoqing Wang, Yican Sun, Lu Zhang, Ge Li, Yingfei Xiong

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

Agent-based code generation for the Gammapy framework

Dmitriy Kostunin, Vladimir Sotnikov, Sergo Golovachev, Abhay Mehta, Tim Lukas Holch, Elisa Jones

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

Comments ICRC2025 proceedings PoS(ICRC2025)753

Memorize or Generalize? Evaluating LLM Code Generation with Code Rewriting

Lizhe Zhang, Wentao Chen, Li Zhong, Letian Peng, Zilong Wang, Jingbo Shang

机构 * University of California, San Diego（加州大学圣地亚哥分校） 纠错

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

Ocassionally Secure: A Comparative Analysis of Code Generation Assistants

Ran Elgedawy, Porter Dosch, John Sadik, Senjuti Dutta, Anuj Gautam, Konstantinos Georgiou, Farzin Gholamrezae, Fujiao Ji, Kyungchan Lim, Qian Liu, Scott Ruoti

机构 * OpenAI ； Google（谷歌） ； DeepSeek 纠错

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

Comments 12 pages, 2 figures

ChartMaster: Advancing Chart-to-Code Generation with Real-World Charts and Chart Similarity Reinforcement Learning

Wentao Tan, Qiong Cao, Chao Xue, Yibing Zhan, Changxing Ding, Xiaodong He

机构 * South China University of Technology（华南理工大学） ； JD Future Academy（京东未来学院） ； Wuhan University（武汉大学） 纠错

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

An Exploratory Study on Fine-Tuning Large Language Models for Secure Code Generation

Junjie Li, Fazle Rabbi, Cheng Cheng, Aseem Sangalay, Yuan Tian, Jinqiu Yang

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

Comments 37 pages, 8 figures

Beyond Language Barriers: Multi-Agent Coordination for Multi-Language Code Generation

Micheline Bénédicte Moumoula, Serge Lionel Nikiema, Albérick Euraste Djire, Abdoul Kader Kabore, Jacques Klein, Tegawendé F. Bissyande

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

Embedding Alignment in Code Generation for Audio

Sam Kouteili, Hiren Madhu, George Typaldos, Mark Santolucito

机构 * Yale University（耶鲁大学） ； Columbia University（哥伦比亚大学） 纠错

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

Comments Accepted to NeurIPS 2025 AI4Music Workshop

A Preliminary Study on the Robustness of Code Generation by Large Language Models

Zike Li, Mingwei Liu, Anji Li, Kaifeng He, Yanlin Wang, Xin Peng, Zibin Zheng

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

Comments 10 pages

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Jun Ling, Yao Qi, Tao Huang, Shibo Zhou, Yanqin Huang, Jiang Yang, Ziqi Song, Ying Zhou, Yang Yang, Heng Tao Shen, Peng Wang

机构 * School of Computer Science and Engineering, University of Electronic Science and Technology of China（电子科技大学计算机科学与工程学院） ； Research Center for Scientific Data Hub, Zhejiang Lab, Hangzhou, China（浙江实验室科学数据中心研究中心） ； School of Computer Science and Technology, Tongji University（同济大学计算机科学与技术学院） 纠错

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

Comments NeurIPS 2025

Out-of-Distribution Generalization in the ARC-AGI Domain: Comparing Execution-Guided Neural Program Synthesis and Test-Time Fine-Tuning

Simon Ouellette

机构 * Simon Ouellette 纠错

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

Comments this version fixes errors in AlphaEvolve total % calculation, Table 3 DSL description, and adds clarifications in response to review criticisms