代码大模型 / AI 编程

LLM-Aided Customizable Profiling of Code Data Based On Programming Language Concepts

Pankaj Thorat, Adnan Qidwai, Adrija Dhar, Aishwariya Chakraborty, Anand Eswaran, Hima Patel, Praveen Jayachandran

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

Comments 21 pages

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces

Jordi Armengol-Estapé, Quentin Carbonneaux, Tianjun Zhang, Aram H. Markosyan, Volker Seeker, Chris Cummins, Melanie Kambadur, Michael F. P. O'Boyle, Sida Wang, Gabriel Synnaeve, Hugh James Leather

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

AutoIOT: LLM-Driven Automated Natural Language Programming for AIoT Applications

Leming Shen, Qiang Yang, Yuanqing Zheng, Mo Li

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

How Diversely Can Language Models Solve Problems? Exploring the Algorithmic Diversity of Model-Generated Code

Seonghyeon Lee, Heejae Chon, Joonwon Jang, Dongha Lee, Hwanjo Yu

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

Advancing vision-language models in front-end development via data synthesis

Tong Ge, Yashu Liu, Jieping Ye, Tianyi Li, Chao Wang

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

IterGen: Iterative Semantic-aware Structured LLM Generation with Backtracking

Shubham Ugare, Rohan Gumaste, Tarun Suresh, Gagandeep Singh, Sasa Misailovic

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

Comments Accepted at ICLR 2025

We Have a Package for You! A Comprehensive Analysis of Package Hallucinations by Code Generating LLMs

Joseph Spracklen, Raveen Wijewickrama, A H M Nazmus Sakib, Anindya Maiti, Bimal Viswanath, Murtuza Jadliwala

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

Comments To appear in the 2025 USENIX Security Symposium. 22 pages, 14 figures, 8 tables. Edited from original version for submission to a different conference. No change to original results or findings

Conversational Planning for Personal Plans

Konstantina Christakopoulou, Iris Qu, John Canny, Andrew Goodridge, Cj Adams, Minmin Chen, Maja Matarić

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

Mechanistic Understanding of Language Models in Syntactic Code Completion

Samuel Miller, Daking Rai, Ziyu Yao

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

Comments 10 pages, 4 figures, accepted to the AAAI 2025 Workshop on Towards Knowledgeable Foundation Models

LogoMotion: Visually-Grounded Code Synthesis for Creating and Editing Animation

Vivian Liu, Rubaiat Habib Kazi, Li-Yi Wei, Matthew Fisher, Timothy Langlois, Seth Walker, Lydia Chilton

专题命中 代码生成 ：code generation(abstract)；program repair(abstract)

LeDex: Training LLMs to Better Self-Debug and Explain Code

Nan Jiang, Xiaopeng Li, Shiqi Wang, Qiang Zhou, Soneya Binta Hossain, Baishakhi Ray, Varun Kumar, Xiaofei Ma, Anoop Deoras

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

Comments This paper is accepted by The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS 2024)

A Survey on Large Language Models with some Insights on their Capabilities and Limitations

Andrea Matarazzo, Riccardo Torlone

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

Comments 174 pages, to be submitted to a journal in a shorter version. It includes figures taken from papers by other authors. All the sources have been referenced. arXiv admin note: text overlap with arXiv:2303.18223 by other authors

Reusing Embeddings: Reproducible Reward Model Research in Large Language Model Alignment without GPUs

Hao Sun, Yunyi Shen, Jean-Francois Ton, Mihaela van der Schaar

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

Towards Making Flowchart Images Machine Interpretable

Shreya Shukla, Prajwal Gatti, Yogesh Kumar, Vikash Yadav, Anand Mishra

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

Comments Published at: ICDAR 2023, Project Page: https://vl2g.github.io/projects/floco/

Deriving Coding-Specific Sub-Models from LLMs using Resource-Efficient Pruning

Laura Puccioni, Alireza Farshin, Mariano Scazzariello, Changjie Wang, Marco Chiesa, Dejan Kostic

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

Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models

Yuheng Huang, Jiayang Song, Zhijie Wang, Shengming Zhao, Huaming Chen, Felix Juefei-Xu, Lei Ma

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

Comments Update website, code, and experiments on eight new LLMs. To appear in the IEEE Transactions on Software Engineering (2025)

Evaluating the Ability of Large Language Models to Generate Verifiable Specifications in VeriFast

Wen Fan, Marilyn Rego, Xin Hu, Sanya Dod, Zhaorui Ni, Danning Xie, Jenna DiVincenzo, Lin Tan

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

Enabling New HDLs with Agents

Mark Zakharov, Farzaneh Rabiei Kashanaki, Jose Renau

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

Channel Merging: Preserving Specialization for Merged Experts

Mingyang Zhang, Jing Liu, Ganggui Ding, Xinyi Yu, Linlin Ou, Bohan Zhuang

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

Comments accepted by AAAI 2025

Towards LLM-based optimization compilers. Can LLMs learn how to apply a single peephole optimization? Reasoning is all LLMs need!

Xiangxin Fang, Lev Mukhanov

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

Comments 13 pages, 8 figures

Unlock the Correlation between Supervised Fine-Tuning and Reinforcement Learning in Training Code Large Language Models

Jie Chen, Xintian Han, Yu Ma, Xun Zhou, Liang Xiang

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

MaestroMotif: Skill Design from Artificial Intelligence Feedback

Martin Klissarov, Mikael Henaff, Roberta Raileanu, Shagun Sodhani, Pascal Vincent, Amy Zhang, Pierre-Luc Bacon, Doina Precup, Marlos C. Machado, Pierluca D'Oro

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

Combining Induction and Transduction for Abstract Reasoning

Wen-Ding Li, Keya Hu, Carter Larsen, Yuqing Wu, Simon Alford, Caleb Woo, Spencer M. Dunn, Hao Tang, Michelangelo Naim, Dat Nguyen, Wei-Long Zheng, Zenna Tavares, Yewen Pu, Kevin Ellis

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

PDC & DM-SFT: A Road for LLM SQL Bug-Fix Enhancing

Yiwen Duan, Yonghong Yu, Xiaoming Zhao, Yichang Wu, Wenbo Liu

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

Comments COLING-Industry 2025 accepted

Crystal: Illuminating LLM Abilities on Language and Code

Tianhua Tao, Junbo Li, Bowen Tan, Hongyi Wang, William Marshall, Bhargav M Kanakiya, Joel Hestness, Natalia Vassilieva, Zhiqiang Shen, Eric P. Xing, Zhengzhong Liu

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

Comments Published as a conference paper at COLM 2024

Efficacy of Various Large Language Models in Generating Smart Contracts

Siddhartha Chatterjee, Bina Ramamurthy

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

Comments 18 pages, accepted for presentation at 8th annual Future of Information and Communication Conference

Limits of Transformer Language Models on Learning to Compose Algorithms

Jonathan Thomm, Giacomo Camposampiero, Aleksandar Terzic, Michael Hersche, Bernhard Schölkopf, Abbas Rahimi

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

Comments NeurIPS 2024

ME-Switch: A Memory-Efficient Expert Switching Framework for Large Language Models

Jing Liu, Ruihao Gong, Mingyang Zhang, Yefei He, Jianfei Cai, Bohan Zhuang

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

Comments Tech report

B4: Towards Optimal Assessment of Plausible Code Solutions with Plausible Tests

Mouxiang Chen, Zhongxin Liu, He Tao, Yusu Hong, David Lo, Xin Xia, Jianling Sun

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

Comments accepted by ASE' 24 (full paper)

Investigating the Transferability of Code Repair for Low-Resource Programming Languages

Kyle Wong, Alfonso Amayuelas, Liangming Pan, William Yang Wang

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