代码大模型 / AI 编程

Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks

Chang Gong, Wanrui Bian, Zhijie Zhang, Weiguo Zheng

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

Comments 24 pages

CodeHalu: Investigating Code Hallucinations in LLMs via Execution-based Verification

Yuchen Tian, Weixiang Yan, Qian Yang, Xuandong Zhao, Qian Chen, Wen Wang, Ziyang Luo, Lei Ma, Dawn Song

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

Comments Accepted by AAAI 2025 main conference

SYNAPSE: SYmbolic Neural-Aided Preference Synthesis Engine

Sadanand Modak, Noah Patton, Isil Dillig, Joydeep Biswas

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

Comments Accepted (oral) at AAAI 25

Practical Design and Benchmarking of Generative AI Applications for Surgical Billing and Coding

John C. Rollman, Bruce Rogers, Hamed Zaribafzadeh, Daniel Buckland, Ursula Rogers, Jennifer Gagnon, Ozanan Meireles, Lindsay Jennings, Jim Bennett, Jennifer Nicholson, Nandan Lad, Linda Cendales, Andreas Seas, Alessandro Martinino, E. Shelley Hwang, Allan D. Kirk

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

Comments 21 pages, 3 figures, 2 tables

RTLSquad: Multi-Agent Based Interpretable RTL Design

Bowei Wang, Qi Xiong, Zeqing Xiang, Lei Wang, Renzhi Chen

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

Do Code LLMs Understand Design Patterns?

Zhenyu Pan, Xuefeng Song, Yunkun Wang, Rongyu Cao, Binhua Li, Yongbin Li, Han Liu

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

Comments accpeted by llm4code workshop in ICSE 2025

ChronoLLM: A Framework for Customizing Large Language Model for Digital Twins generalization based on PyChrono

Jingquan Wang, Harry Zhang, Khailanii Slaton, Shu Wang, Radu Serban, Jinlong Wu, Dan Negrut

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

CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models

Zhenyu Xu, Victor S. Sheng

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

Seed-CTS: Unleashing the Power of Tree Search for Superior Performance in Competitive Coding Tasks

Hao Wang, Boyi Liu, Yufeng Zhang, Jie Chen

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

M-Ped: Multi-Prompt Ensemble Decoding for Large Language Models

Jiaxin Guo, Daimeng Wei, Yuanchang Luo, Shimin Tao, Hengchao Shang, Zongyao Li, Shaojun Li, Jinlong Yang, Zhanglin Wu, Zhiqiang Rao, Hao Yang

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

HPC-Coder-V2: Studying Code LLMs Across Low-Resource Parallel Languages

Aman Chaturvedi, Daniel Nichols, Siddharth Singh, Abhinav Bhatele

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

Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution

Ziyi Ni, Yifan Li, Daxiang Dong

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

Comments Submitted to the Neurips Workshop "System 2 Reasoning" in September, 2024. The openreview is avaliable at https://openreview.net/forum?id=8NKAL8Ngxk

An Exploratory Study of ML Sketches and Visual Code Assistants

Luís F. Gomes, Vincent J. Hellendoorn, Jonathan Aldrich, Rui Abreu

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

Journal ref Proceedings of the 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production

Xiaoyun Liang, Jingyi Ren, Jiayi Qi, Chao Peng, Bo Jiang

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

How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models

Norbert Tihanyi, Tamas Bisztray, Mohamed Amine Ferrag, Ridhi Jain, Lucas C. Cordeiro

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

Comments Accepted and will be shortly published at Empirical Software Engineering (EMSE). Journal Impact Factor: 3.5 (2023)

Copyright-Protected Language Generation via Adaptive Model Fusion

Javier Abad, Konstantin Donhauser, Francesco Pinto, Fanny Yang

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

Comments 47 pages, 21 Figures. arXiv admin note: substantial text overlap with arXiv:2407.20105

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation

Manish Bhattarai, Minh Vu, Javier E. Santos, Ismael Boureima, Daniel O' Malley

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

Model Editing for LLMs4Code: How Far are We?

Xiaopeng Li, Shangwen Wang, Shasha Li, Jun Ma, Jie Yu, Xiaodong Liu, Jing Wang, Bin Ji, Weimin Zhang

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

Comments Accepted by ICSE2025. The code is available at: https://github.com/xpq-tech/code-llmedit.git

Commit0: Library Generation from Scratch

Wenting Zhao, Nan Jiang, Celine Lee, Justin T Chiu, Claire Cardie, Matthias Gallé, Alexander M Rush

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

Training Agents with Weakly Supervised Feedback from Large Language Models

Dihong Gong, Pu Lu, Zelong Wang, Meng Zhou, Xiuqiang He

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

Instruct or Interact? Exploring and Eliciting LLMs' Capability in Code Snippet Adaptation Through Prompt Engineering

Tanghaoran Zhang, Yue Yu, Xinjun Mao, Shangwen Wang, Kang Yang, Yao Lu, Zhang Zhang, Yuxin Zhao

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

Comments 12 pages, 10 figures, accepted by ICSE 2025

GIS Copilot: Towards an Autonomous GIS Agent for Spatial Analysis

Temitope Akinboyewa, Zhenlong Li, Huan Ning, M. Naser Lessani

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

Towards Specification-Driven LLM-Based Generation of Embedded Automotive Software

Minal Suresh Patil, Gustav Ung, Mattias Nyberg

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

Comments 21 pages, 2 figures

Does Prompt Formatting Have Any Impact on LLM Performance?

Jia He, Mukund Rungta, David Koleczek, Arshdeep Sekhon, Franklin X Wang, Sadid Hasan

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

Comments Submitted to NAACL 2025

A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration

Zijun Liu, Yanzhe Zhang, Peng Li, Yang Liu, Diyi Yang

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

Comments Published in COLM2024. Code Repo: https://github.com/SALT-NLP/DyLAN

Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers

Md Kamrul Siam, Huanying Gu, Jerry Q. Cheng

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

Comments 8 pages

CoCoP: Enhancing Text Classification with LLM through Code Completion Prompt

Mohammad Mahdi Mohajeri, Mohammad Javad Dousti, Majid Nili Ahmadabadi

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

OMPGPT: A Generative Pre-trained Transformer Model for OpenMP

Le Chen, Arijit Bhattacharjee, Nesreen Ahmed, Niranjan Hasabnis, Gal Oren, Vy Vo, Ali Jannesari

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

Enhancing Table Representations with LLM-powered Synthetic Data Generation

Dayu Yang, Natawut Monaikul, Amanda Ding, Bozhao Tan, Kishore Mosaliganti, Giri Iyengar

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

Comments the Thirty-Eighth Annual Conference on Neural Information Processing Systems Table Representation Workshop

Exploiting LLM Quantization

Kazuki Egashira, Mark Vero, Robin Staab, Jingxuan He, Martin Vechev

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