代码大模型 / AI 编程

Quality Assessment of Tabular Data using Large Language Models and Code Generation

Ashlesha Akella, Akshar Kaul, Krishnasuri Narayanam, Sameep Mehta

机构 * IBM Research（IBM研究院） 纠错

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

Comments under review

Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models

Jun Ling, Yao Qi, Tao Huang, Shibo Zhou, Yanqin Huang, Jiang Yang, Ziqi Song, Ying Zhou, Yang Yang, Heng Tao Shen, Peng Wang

机构 * School of Computer Science and Engineering, University of Electronic Science and Technology of China（电子科技大学计算机科学与工程学院） ； Research Center for Scientific Data Hub, Zhejiang Lab, Hangzhou, China（浙江实验室科学数据中心研究中心） ； School of Computer Science and Technology, Tongji University（同济大学计算机科学与技术学院） 纠错

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

Comments NeurIPS 2025

Out-of-Distribution Generalization in the ARC-AGI Domain: Comparing Execution-Guided Neural Program Synthesis and Test-Time Fine-Tuning

Simon Ouellette

机构 * Simon Ouellette 纠错

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

Comments this version fixes errors in AlphaEvolve total % calculation, Table 3 DSL description, and adds clarifications in response to review criticisms

Code Generation with Small Language Models: A Codeforces-Based Study

Débora Souza, Rohit Gheyi, Lucas Albuquerque, Gustavo Soares, Márcio Ribeiro

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

Comments Accepted at International Conference on Machine Learning and Applications (ICMLA 2025)

VerilogMonkey: Exploring Parallel Scaling for Automated Verilog Code Generation with LLMs

Juxin Niu, Yuxin Du, Dan Niu, Xi Wang, Zhe Jiang, Nan Guan

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

Agentic AI for Software: thoughts from Software Engineering community

Abhik Roychoudhury

机构 * NUS（国立新加坡大学） ； SonarSource SA 纠错

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

Comments 4 pages

REAMS: Reasoning Enhanced Algorithm for Maths Solving

Eishkaran Singh, Tanav Singh Bajaj, Siddharth Nayak

机构 * Thapar（塔帕尔学院） ； University of British Columbia（不列颠哥伦比亚大学） ； Massachusetts Institute of Technology（麻省理工学院） 纠错

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

Localizing Malicious Outputs from CodeLLM

Mayukh Borana, Junyi Liang, Sai Sathiesh Rajan, Sudipta Chattopadhyay

机构 * Singapore University of Technology and Design（新加坡科技设计大学） 纠错

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

Comments 10 pages, 2 figures, 6 tables, Accepted at EMNLP 2025 Findings

OptiChat: Bridging Optimization Models and Practitioners with Large Language Models

Hao Chen, Gonzalo Esteban Constante-Flores, Krishna Sri Ipsit Mantri, Sai Madhukiran Kompalli, Akshdeep Singh Ahluwalia, Can Li

机构 * Davidson School of Chemical Engineering（大卫逊化学工程学院） ； Purdue University（普渡大学） 纠错

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

From OCL to JSX: declarative constraint modeling in modern SaaS tools

Antonio Bucchiarone, Juri Di Rocco, Damiano Di Vincenzo, Alfonso Pierantonio

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

Comments 10 pages, 2 Figures, Joint Proceedings of the STAF 2025 Workshops: OCL, OOPSLE, LLM4SE, ICMM, AgileMDE, AI4DPS, and TTC. Koblenz, Germany, June 10-13, 2025

Efficient Beam Search for Large Language Models Using Trie-Based Decoding

Brian J Chan, MaoXun Huang, Jui-Hung Cheng, Chao-Ting Chen, Hen-Hsen Huang

机构 * Department of Computer Science, National Chengchi University（国立成功大学计算机科学系） ； Department of Computer Science, Cornell University（康奈尔大学计算机科学系） ； Institute of Information Science, Academia Sinica（中华科学研究院资讯研究所） 纠错

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

Comments 13 pages, accepted as a main conference paper at EMNLP 2025

Beyond Autocomplete: Designing CopilotLens Towards Transparent and Explainable AI Coding Agents

Runlong Ye, Zeling Zhang, Boushra Almazroua, Michael Liut

机构 * Computer Science, University of Toronto（计算机科学，多伦多大学） ； University of Toronto（多伦多大学） ； King Abdullah University of Science and Technology（国王 Abdullah 科学与技术大学） 纠错

专题命中 软件智能体 ：coding agent(title)；分类 cs.AI

Comments accepted at The First Workshop on the Application of LLM Explainability to Reasoning and Planning (XLLM-Reason-Plan) @ COLM 2025

RelRepair: Enhancing Automated Program Repair by Retrieving Relevant Code

Shunyu Liu, Guangdong Bai, Mark Utting, Guowei Yang

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

Comments 11 pages, 5 figures, under review at TSE

MORepair: Teaching LLMs to Repair Code via Multi-Objective Fine-tuning

Boyang Yang, Haoye Tian, Jiadong Ren, Hongyu Zhang, Jacques Klein, Tegawendé F. Bissyandé, Claire Le Goues, Shunfu Jin

专题命中 程序修复 ：program repair(abstract)；repository(abstract)；分类 cs.SE

Journal ref ACM Transactions on Software Engineering and Methodology, 2025

Breast Cancer Classification Using Gradient Boosting Algorithms Focusing on Reducing the False Negative and SHAP for Explainability

João Manoel Herrera Pinheiro, Marcelo Becker

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

Comments 9 pages, 16 figures

Journal ref Inteligencia Artificial, 28(75) (2025), 63-80

Matter-of-Fact: A Benchmark for Verifying the Feasibility of Literature-Supported Claims in Materials Science

Peter Jansen, Samiah Hassan, Ruoyao Wang

机构 * University of Arizona（亚利桑那大学） ； Allen Institute for Artificial Intelligence（人工智能 Allen 机构） 纠错

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

Comments 9 pages (Accepted to EMNLP 2025)

LLaSA: A Sensor-Aware LLM for Natural Language Reasoning of Human Activity from IMU Data

Sheikh Asif Imran, Mohammad Nur Hossain Khan, Subrata Biswas, Bashima Islam

机构 * Worcester Polytechnic Institute（沃斯特理工大学） 纠错

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

Scaling Low-Resource MT via Synthetic Data Generation with LLMs

Ona de Gibert, Joseph Attieh, Teemu Vahtola, Mikko Aulamo, Zihao Li, Raúl Vázquez, Tiancheng Hu, Jörg Tiedemann

机构 * University of Helsinki（赫尔辛基大学） ； University of Cambridge（剑桥大学） 纠错

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

Comments Accepted at EMNLP 2025 Main Conference

DeCoMa: Detecting and Purifying Code Dataset Watermarks through Dual Channel Code Abstraction

Yuan Xiao, Yuchen Chen, Shiqing Ma, Haocheng Huang, Chunrong Fang, Yanwei Chen, Weisong Sun, Yunfeng Zhu, Xiaofang Zhang, Zhenyu Chen

专题命中 代码评测 ：code model(abstract)；分类 cs.SE

Comments Accepted to ISSTA 2025. Code is available at https://github.com/xiaoyuanpigo/DeCoMa

Evaluating Fairness in Large Vision-Language Models Across Diverse Demographic Attributes and Prompts

Xuyang Wu, Yuan Wang, Hsin-Tai Wu, Zhiqiang Tao, Yi Fang

机构 * Santa Clara University（圣克拉拉大学） ； DOCOMO Innovations, Inc.（DOCOMO创新公司） ； Rochester Institute of Technology（罗切斯特理工学院） 纠错

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

Comments EMNLP Findings

"Digital Camouflage": The LLVM Challenge in LLM-Based Malware Detection

Ekin Böke, Simon Torka

专题命中 代码评测 ：repository(abstract)

Experimental Exchange Interaction Dataset for Magnetic Materials: Spin Waves to MC Simulations

Mojtaba Alaei, Zahra Mosleh, Nafise Rezaei, Artem R. Oganov

专题命中 仓库级理解 ：repository(abstract)

EquiBench: Benchmarking Large Language Models' Reasoning about Program Semantics via Equivalence Checking

Anjiang Wei, Jiannan Cao, Ran Li, Hongyu Chen, Yuhui Zhang, Ziheng Wang, Yuan Liu, Thiago S. F. X. Teixeira, Diyi Yang, Ke Wang, Alex Aiken

机构 * Stanford University（斯坦福大学） ； MIT（麻省理工学院） ； Google（谷歌） ； Nanjing University（南京大学） ； Intel（英特尔） 纠错

专题命中 程序分析与验证 ：code generation(abstract)；分类 cs.SE、cs.CL、cs.AI

Estimating Energy Release in Metallized Composite Explosives Using the Taylor Model

Jason Loiseau, Sebastian Rodriguez Rosero, Yaroslava Poroshyna, S. She-Ming Lau-Chapdelaine

专题命中 其他AI编程 ：code model(abstract)

Journal ref Proceedings of the 17th International Symposium on Detonation, pp. 760-770, Office of Naval Research, Kansas City, USA, 4 Aug. 2024