代码大模型 / AI 编程

WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation

Mingde Xu, Zhen Yang, Wenyi Hong, Lihang Pan, Xinyue Fan, Yan Wang, Xiaotao Gu, Bin Xu, Jie Tang

机构 * Faculty of Mathematics, University of Waterloo（滑铁卢大学数学系） ； The Knowledge Engineering Group (KEG), Tsinghua University（清华大学知识工程集团） ； Zhipu AI（智谱AI） 纠错

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

Comments 36 pages, 30 figures

FractalBench: Diagnosing Visual-Mathematical Reasoning Through Recursive Program Synthesis

Jan Ondras, Marek Šuppa

机构 * MIT（麻省理工学院） ； Comenius University in Bratislava（布拉迪斯拉发孔院大学） 纠错

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

Comments Accepted to The 5th Workshop on Mathematical Reasoning and AI at the 39th Conference on Neural Information Processing Systems (NeurIPS 2025); 25 pages, 14 figures, 8 tables; Code available at https://github.com/NaiveNeuron/FractalBench

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

NoteEx: Interactive Visual Context Manipulation for LLM-Assisted Exploratory Data Analysis in Computational Notebooks

Mohammad Hasan Payandeh, Lin-Ping Yuan, Jian Zhao

机构 * School of Computer Science\ of Waterloo Waterloo Ontario Canada ； The Hong Kong University of Science ； School of Computer Science\ of Waterloo 纠错

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

SOCIA-Nabla: Textual Gradient Meets Multi-Agent Orchestration for Automated Simulator Generation

Yuncheng Hua, Sion Weatherhead, Mehdi Jafari, Hao Xue, Flora D. Salim

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

Comments superseded by newest version of arXiv:2505.12006

An Empirical Study of Reasoning Steps in Thinking Code LLMs

Haoran Xue, Gias Uddin, Song Wang

机构 * York University（约克大学） 纠错

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

When AI Meets the Web: Prompt Injection Risks in Third-Party AI Chatbot Plugins

Yigitcan Kaya, Anton Landerer, Stijn Pletinckx, Michelle Zimmermann, Christopher Kruegel, Giovanni Vigna

机构 * University of California, Santa Barbara（加州大学圣巴bara分校） 纠错

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

Comments At IEEE S&P 2026

OPLoRA: Orthogonal Projection LoRA Prevents Catastrophic Forgetting during Parameter-Efficient Fine-Tuning

Yifeng Xiong, Xiaohui Xie

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