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