代码大模型 / AI 编程

Design and Application of Multimodal Large Language Model Based System for End to End Automation of Accident Dataset Generation

MD Thamed Bin Zaman Chowdhury, Moazzem Hossain

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

Comments This paper is accepted for presentation in TRB annual meeting 2026. The version presented here is the preprint version before peer review process

Modeling Others' Minds as Code

Kunal Jha, Aydan Yuenan Huang, Eric Ye, Natasha Jaques, Max Kleiman-Weiner

机构 * Department of Computer Science, University of Washington（华盛顿大学计算机科学系） ； Department of Computer Science, Johns Hopkins University（约翰霍普金斯大学计算机科学系） 纠错

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

Towards Speeding up Program Repair with Non-Autoregressive Model

Zhenyu Yang, Yue Pan, Zhen Yang, Zhongxing Yu

专题命中 程序修复 ：program repair(title,abstract)；code generation(abstract)；分类 cs.SE

Comments 30 pages, 8 figures, 7 tables. arXiv admin note: substantial text overlap with arXiv:2406.16526

Clarifying Semantics of In-Context Examples for Unit Test Generation

Chen Yang, Lin Yang, Ziqi Wang, Dong Wang, Jianyi Zhou, Junjie Chen

机构 * College of Intelligence and Computing, Tianjin University, Tianjin, China（智能与计算学院，天津大学，天津，中国） ； Huawei Cloud Computing Technologies Co., Ltd., Beijing, China（华为云计算技术有限公司，北京，中国） 纠错

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE、cs.AI

Comments accepted in the research track of ASE 2025

Reflective Unit Test Generation for Precise Type Error Detection with Large Language Models

Chen Yang, Ziqi Wang, Yanjie Jiang, Lin Yang, Yuteng Zheng, Jianyi Zhou, Junjie Chen

专题命中 测试生成 ：unit test generation(title,abstract)；分类 cs.SE

Comments accepted in the research track of ASE 2025

Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling

Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang

机构 * Apple（苹果公司） 纠错

专题命中 测试生成 ：code model(abstract)；分类 cs.LG

Guiding Multimodal Large Language Models with Blind and Low Vision People Visual Questions for Proactive Visual Interpretations

Ricardo Gonzalez Penuela, Felipe Arias-Russi, Victor Capriles

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

Comments 7 pages, 2 figure, 2 tables, CV4A11y Workshop at ICCV 2025

NoMod: A Non-modular Attack on Module Learning With Errors

Cristian Bassotto, Ermes Franch, Marina Krček, Stjepan Picek

机构 * Radboud University（拉博德大学） ； University of Bergen（卑尔根大学） 纠错

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

SSTAG: Structure-Aware Self-Supervised Learning Method for Text-Attributed Graphs

Ruyue Liu, Rong Yin, Xiangzhen Bo, Xiaoshuai Hao, Yong Liu, Jinwen Zhong, Can Ma, Weiping Wang

机构 * Institute of Information Engineering, CAS（信息工程研究所，中国科学院） ； School of Cyberspace Security, UCAS（网络安全学院，中国科学院大学） ； Wuhan University of Technology（武汉理工大学） ； Xiaomi EV（小米汽车） ； Renmin University of China（中国人民大学） 纠错

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

Comments Accepted by NeurIPS 2025

How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook

Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash

机构 * Georgia Institute of Technology（佐治亚理工学院） ； Bytedance Inc.（字节跳动公司） ； Squirrel AI, USA（squirrel AI 美国分公司） ； The University of Virginia（弗吉尼亚大学） ； Cornell University（康奈尔大学） 纠错

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

Comments Github Repo: https://github.com/AdityaLab/MM4TSA Updated to include papers accepted by IJCAI25, KDD25, ICML25, NeurIPS25 4 figures or tables, 19 pages, 251 references