代码大模型 / AI 编程

CodeIF: Benchmarking the Instruction-Following Capabilities of Large Language Models for Code Generation

Kaiwen Yan, Hongcheng Guo, Xuanqing Shi, Shaosheng Cao, Donglin Di, Zhoujun Li

机构 * Beihang University（北航大学） ； Tsinghua University（清华大学） ； Xiaohongshu（小红书） 纠错

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

Comments Accepted as an ACL 2025 Industry Track paper (15 pages)

Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling

Ziyi Ni, Yifan Li, Ning Yang, Dou Shen, Pin Lv, Daxiang Dong

机构 * The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences（认知与决策智能复杂系统重点实验室，自动化研究所，中国科学院） ； School of Artificial Intelligence, University of Chinese Academy of Science（人工智能学院，中国科学院大学） ； Baidu, Inc.（百度公司） ； Global Innovation Exchange Institution, Tsinghua University（全球创新交换机构，清华大学） 纠错

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

Comments This idea was first submitted to the NeuralPS Workshop "System 2 Reasoning At Scale" in September 2024. Its OpenReview: https://openreview.net/forum?id=8NKAL8Ngxk&noteId=8NKAL8Ngxk. It was then submitted to the NAACL 2025 in October 2024, which is recorded in: https://openreview.net/forum?id=S0ZUWD3Vy5&noteId=S0ZUWD3Vy5. Now this paper has been accepted for publication in ACL 2025 Findings

Correctness Assessment of Code Generated by Large Language Models Using Internal Representations

Tuan-Dung Bui, Thanh Trong Vu, Thu-Trang Nguyen, Son Nguyen, Hieu Dinh Vo

机构 * Faculty of Information Technology, VNU University of Engineering and Technology（信息科技学院，越南工程大学） 纠错

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

Academic Vibe Coding: Opportunities for Accelerating Research in an Era of Resource Constraint

Matthew G Crowson, Leo Celi A. Celi

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

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation

Juzheng Zhang, Jiacheng You, Ashwinee Panda, Tom Goldstein

机构 * University of Maryland（马里兰大学） ； Tsinghua University（清华大学） 纠错

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

Comments COLM 2025

A comprehensive taxonomy of hallucinations in Large Language Models

Manuel Cossio

机构 * Universitat de Barcelona（巴塞罗那大学） 纠错

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

Comments 55 pages, 16 figures, 3 tables

Everyone Contributes! Incentivizing Strategic Cooperation in Multi-LLM Systems via Sequential Public Goods Games

Yunhao Liang, Yuan Qu, Jingyuan Yang, Shaochong Lin, Zuo-Jun Max Shen

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

Testing the Untestable? An Empirical Study on the Testing Process of LLM-Powered Software Systems

Cleyton Magalhaes, Italo Santos, Brody Stuart-Verner, Ronnie de Souza Santos

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

EvoVLMA: Evolutionary Vision-Language Model Adaptation

Kun Ding, Ying Wang, Shiming Xiang

机构 * Institute of Automation, Chinese Academy of Sciences（中国科学院自动化研究所） 纠错

专题命中 代码生成 ：code generation(abstract)

Comments This paper has been accepted by ACM Multimedia 2025 (ACM MM 2025)

Gravitational Waves from Simulated Mergers of 2 and 3 Black Holes

Faisal Alotaibi

专题命中 代码生成 ：code generation(abstract)