代码大模型 / AI 编程

Beyond Synthetic Benchmarks: Evaluating LLM Performance on Real-World Class-Level Code Generation

Musfiqur Rahman, SayedHassan Khatoonabadi, Emad Shihab

机构 * Concordia University（康科德大学） 纠错

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

Comments Pre-print submitted for reviwer to TOSEM

SELF-REDRAFT: Eliciting Intrinsic Exploration-Exploitation Balance in Test-Time Scaling for Code Generation

Yixiang Chen, Tianshi Zheng, Shijue Huang, Zhitao He, Yi R. Fung

机构 * Department of Computer Science and Engineering, HKUST（计算机科学与工程系，香港科技大学） 纠错

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

Comments 15 pages, 8 figures,2 tables

Data Dependency-Aware Code Generation from Enhanced UML Sequence Diagrams

Wenxin Mao, Zhitao Wang, Long Wang, Sirong Chen, Cuiyun Gao, Luyang Cao, Ziming Liu, Qiming Zhang, Jun Zhou, Zhi Jin

机构 * WeChat Pay, Tencent Inc（腾讯公司） ； The Chinese University of Hong Kong（香港中文大学） ； Wuhan University（武汉大学） 纠错

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

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

Analysis of AdvFusion: Adapter-based Multilingual Learning for Code Large Language Models

Amirreza Esmaeili, Fahd Seddik, Yongyi Ji, Fatemeh Fard, Fuxiang Chen

机构 * University of British Columbia（不列颠哥伦比亚大学） ； University of Leicester（利兹大学） 纠错

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

CudaForge: An Agent Framework with Hardware Feedback for CUDA Kernel Optimization

Zijian Zhang, Rong Wang, Shiyang Li, Yuebo Luo, Mingyi Hong, Caiwen Ding

机构 * University of Minnesota, Twin Cities（明尼苏达大学，双城分校） 纠错

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

Using Multi-modal Large Language Model to Boost Fireworks Algorithm's Ability in Settling Challenging Optimization Tasks

Shipeng Cen, Ying Tan

机构 * School of Intelligence Science ； Technology, Institute for Artificial Intellignce, Peking University, Beijing, China ； Technology, Institute for Artificial Intellignce, National Key Laboratory of General Artificial Intelligence, Peking University, Beijing, China 纠错

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

MathOPEval: A Fine-grained Evaluation Benchmark for Visual Operations of MLLMs in Mathematical Reasoning

Xiaoyuan Li, Moxin Li, Wenjie Wang, Rui Men, Yichang Zhang, Fuli Feng, Dayiheng Liu

机构 * University of Science and Technology of China（中国科学技术大学） ； Alibaba Group（阿里巴巴集团） ； National University of Singapore（新加坡国立大学） 纠错

专题命中 代码评测 ：code generation(abstract)；分类 cs.CL

Comments Under Review

REINFORCE-ING Chemical Language Models for Drug Discovery

Morgan Thomas, Albert Bou, Jose Carlos Gómez-Tamayo, Gary Tresadern, Mazen Ahmad, Gianni De Fabritiis

机构 * Computational Science Laboratory, Universitat Pompeu Fabra, Barcelona Biomedical Research Park (PRBB), C Dr. Aiguader 88, 08003 Barcelona, Spain ； In Silico Discovery, Janssen Research \& Development, Janssen Pharmaceutica N. V., Turnhoutseweg 30, B-2340 Beerse, Belgium 纠错

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

CRSF: Enabling QoS-Aware Beyond-Connectivity Service Sharing in 6G Local Networks

Pragya Sharma, Amanda Xiang, Abbas Kiani, John Kaippallimalil, Tony Saboorian, Haining Wang

专题命中 仓库级理解 ：repository(abstract)

Automated Prompt Generation for Code Intelligence: An Empirical study and Experience in WeChat

Kexing Ji, Shiyun Fu, Cuiyun Gao, Yujia Chen, Zezhou Yang, Chaozheng Wang, Yuetang Deng

专题命中 其他AI编程 ：code model(abstract)；分类 cs.SE

Comments Accepted by ASE 2025 Industry Track