代码大模型 / AI 编程

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

Learning to Parallelize with OpenMP by Augmented Heterogeneous AST Representation

Le Chen, Quazi Ishtiaque Mahmud, Hung Phan, Nesreen K. Ahmed, Ali Jannesari

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

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

Eurekaverse: Environment Curriculum Generation via Large Language Models

William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Dinesh Jayaraman, Yecheng Jason Ma

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

Comments Conference on Robot Learning (CoRL), 2024. Project website and code: https://eureka-research.github.io/eurekaverse

NEO: Saving GPU Memory Crisis with CPU Offloading for Online LLM Inference

Xuanlin Jiang, Yang Zhou, Shiyi Cao, Ion Stoica, Minlan Yu

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

Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation

Abhinav Jain, Swarat Chaudhuri, Thomas Reps, Chris Jermaine

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

Comments 14 pages, 8 figures, 4 tables

Scaling LLM Inference with Optimized Sample Compute Allocation

Kexun Zhang, Shang Zhou, Danqing Wang, William Yang Wang, Lei Li

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

Data Interpreter: An LLM Agent For Data Science

Sirui Hong, Yizhang Lin, Bang Liu, Bangbang Liu, Binhao Wu, Ceyao Zhang, Chenxing Wei, Danyang Li, Jiaqi Chen, Jiayi Zhang, Jinlin Wang, Li Zhang, Lingyao Zhang, Min Yang, Mingchen Zhuge, Taicheng Guo, Tuo Zhou, Wei Tao, Xiangru Tang, Xiangtao Lu, Xiawu Zheng, Xinbing Liang, Yaying Fei, Yuheng Cheng, Zhibin Gou, Zongze Xu, Chenglin Wu

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

Impeding LLM-assisted Cheating in Introductory Programming Assignments via Adversarial Perturbation

Saiful Islam Salim, Rubin Yuchan Yang, Alexander Cooper, Suryashree Ray, Saumya Debray, Sazzadur Rahaman

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

PEAR: A Robust and Flexible Automation Framework for Ptychography Enabled by Multiple Large Language Model Agents

Xiangyu Yin, Chuqiao Shi, Yimo Han, Yi Jiang

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

Comments 18 pages, 5 figures, technical preview report

ECCO: Can We Improve Model-Generated Code Efficiency Without Sacrificing Functional Correctness?

Siddhant Waghjale, Vishruth Veerendranath, Zora Zhiruo Wang, Daniel Fried

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

Comments EMNLP 2024; Project Page: https://ecco-code-eff.github.io/

Can LLMs plan paths with extra hints from solvers?

Erik Wu, Sayan Mitra

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

Showing LLM-Generated Code Selectively Based on Confidence of LLMs

Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin

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