代码大模型 / AI 编程

COMPASS: A Multi-Dimensional Benchmark for Evaluating Code Generation in Large Language Models

James Meaden, Michał Jarosz, Piotr Jodłowski, Grigori Melnik

机构 * Codility 纠错

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

ChronoLLM: Customizing Language Models for Physics-Based Simulation Code Generation

Jingquan Wang, Andrew Negrut, Harry Zhang, Khailanii Slaton, Shu Wang, Radu Serban, Jinlong Wu, Dan Negrut

机构 * Department of Mechanical Engineering, University of Wisconsin-Madison（威斯康星大学麦迪逊分校机械工程系） ； Department of Computer Science, Rice University（里德大学计算机科学系） 纠错

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

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） 纠错

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

AutoMPC: A Code Generator for MPC-based Automated Driving

Georg Schildbach, Jasper Pflughaupt

机构 * University of Luebeck（吕贝克大学） 纠错

专题命中 代码生成 ：code generation(abstract)

Comments Technical Documentation

ChangePrism: Visualizing the Essence of Code Changes

Lei Chen, Michele Lanza, Shinpei Hayashi

专题命中 软件智能体 ：repository(abstract)；分类 cs.SE

Comments (C) 2025 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works

A Survey of LLM-based Deep Search Agents: Paradigm, Optimization, Evaluation, and Challenges

Yunjia Xi, Jianghao Lin, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang

机构 * Shanghai Jiao Tong University（上海交通大学） 纠错

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

Neuro-Symbolic Artificial Intelligence: Towards Improving the Reasoning Abilities of Large Language Models

Xiao-Wen Yang, Jie-Jing Shao, Lan-Zhe Guo, Bo-Wen Zhang, Zhi Zhou, Lin-Han Jia, Wang-Zhou Dai, Yu-Feng Li

机构 * National Key Laboratory for Novel Software Technology, Nanjing University, China（国家新型软件技术重点实验室，南京大学，中国） ； School of Artificial Intelligence, Nanjing University, China（人工智能学院，南京大学，中国） ； School of Intelligence Science and Technology, Nanjing University, China（智能科学与技术学院，南京大学，中国） 纠错

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

Comments 9 pages, 3 figures, IJCAI 2025 Survey Track

Fact or Guesswork? Evaluating Large Language Models' Medical Knowledge with Structured One-Hop Judgments

Jiaxi Li, Yiwei Wang, Kai Zhang, Yujun Cai, Bryan Hooi, Nanyun Peng, Kai-Wei Chang, Jin Lu

机构 * University of Georgia（佐治亚大学） ； University of California, Merced（加州大学默塞德分校） ； Lehigh University（莱特大学） ； The University of Queensland（昆士兰大学） ； National University of Singapore（新加坡国立大学） ； University of California, Los Angeles（加州大学洛杉矶分校） 纠错

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

Comments 15 pages, 11 figures