代码大模型 / AI 编程

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve

机构 * Meta ； FAIR CodeGen Team（FAIR CodeGen团队） 纠错

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

Comments 58 pages

Relative Positioning Based Code Chunking Method For Rich Context Retrieval In Repository Level Code Completion Task With Code Language Model

Imranur Rahman, Md Rayhanur Rahman

机构 * North Carolina State University（北卡罗来纳州立大学） ； The University of Alabama（阿拉巴马大学） 纠错

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

Comments Accepted to Context Collection Workshop co-located with ASE 2025

Identifying & Interactively Refining Ambiguous User Goals for Data Visualization Code Generation

Mert İnan, Anthony Sicilia, Alex Xie, Saujas Vaduguru, Daniel Fried, Malihe Alikhani

机构 * Northeastern University（东北大学） ； Carnegie Mellon University（卡内基梅隆大学） 纠错

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

RA-Gen: A Controllable Code Generation Framework Using ReAct for Multi-Agent Task Execution

Aofan Liu, Haoxuan Li, Bin Wang, Ao Yang, Hui Li

机构 * School of Electronic and Computer Engineering, Peking University（电子与计算机工程学院，北京大学） ； Guangdong Provincial Key Laboratory of Ultra High Definition Immersive Media Technology（超高清沉浸媒体技术省重点实验室） ； Shenzhen Graduate School, Peking University（深圳研究生院，北京大学） ； Shenzhen International Graduate School, Tsinghua University（深圳国际研究生院，清华大学） 纠错

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

PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction

Anubhav Shrimal, Aryan Jain, Soumyajit Chowdhury, Promod Yenigalla

机构 * RBS Tech Sciences, Amazon（RBS科技科学，亚马逊） 纠错

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

Comments EMNLP 2025 Industry Track

Impact of LLMs on Team Collaboration in Software Development

Devang Dhanuka

机构 * MS Data Science Program（数据科学项目） ； Rochester Institute of Technology（罗切斯特理工学院） 纠错

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

TIT: A Tree-Structured Instruction Tuning Approach for LLM-Based Code Translation

He Jiang, Yufu Wang, Hao Lin, Peiyu Zou, Zhide Zhou, Ang Jia, Xiaochen Li, Zhilei Ren

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

Man-Made Heuristics Are Dead. Long Live Code Generators!

Rohit Dwivedula, Divyanshu Saxena, Aditya Akella, Swarat Chaudhuri, Daehyeok Kim

机构 * The University of Texas at Austin（德克萨斯大学奥斯汀分校） 纠错

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

Comments 10 pages, 2 figures, 2 tables. To be presented at HotNets 2025

Implementation of McMurchie-Davidson algorithm for Gaussian AO integrals suited for SIMD processors

Andrey Asadchev, Edward F. Valeev

专题命中 代码生成 ：code generation(abstract)