代码大模型 / AI 编程

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)

Kartik Singhal, Gautam Shroff

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

Comments Pre-print of paper accepted at AAAI 2025

Exploring Coding Spot: Understanding Parametric Contributions to LLM Coding Performance

Dongjun Kim, Minhyuk Kim, YongChan Chun, Chanjun Park, Heuiseok Lim

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

Towards an Understanding of Large Language Models in Software Engineering Tasks

Zibin Zheng, Kaiwen Ning, Qingyuan Zhong, Jiachi Chen, Wenqing Chen, Lianghong Guo, Weicheng Wang, Yanlin Wang

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

From Image to UML: First Results of Image Based UML Diagram Generation Using LLMs

Aaron Conrardy, Jordi Cabot

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

Comments Accepted in First Large Language Models for Model-Driven Engineering Workshop (LLM4MDE 2024)

Journal ref STAF Workshops 2024: 55-65

Evaluating and Aligning CodeLLMs on Human Preference

Jian Yang, Jiaxi Yang, Ke Jin, Yibo Miao, Lei Zhang, Liqun Yang, Zeyu Cui, Yichang Zhang, Binyuan Hui, Junyang Lin

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

HyperGraphOS: A Meta Operating System for Science and Engineering

Antonello Ceravola, Frank Joublin, Ahmed R. Sadik, Bram Bolder, Juha-Pekka Tolvanen

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

EDA-Aware RTL Generation with Large Language Models

Mubashir ul Islam, Humza Sami, Pierre-Emmanuel Gaillardon, Valerio Tenace

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

Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges

Minghao Shao, Abdul Basit, Ramesh Karri, Muhammad Shafique

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

On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code

Md Imran Hossen, Xiali Hei

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

Adaptive Deployment of Untrusted LLMs Reduces Distributed Threats

Jiaxin Wen, Vivek Hebbar, Caleb Larson, Aryan Bhatt, Ansh Radhakrishnan, Mrinank Sharma, Henry Sleight, Shi Feng, He He, Ethan Perez, Buck Shlegeris, Akbir Khan

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

Towards the LLM-Based Generation of Formal Specifications from Natural-Language Contracts: Early Experiments with Symboleo

Mounira Nihad Zitouni, Amal Ahmed Anda, Sahil Rajpal, Daniel Amyot, John Mylopoulos

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

Comments 9 pages, 1 figure, 2 tables, submitted to a workshop

Qwen2.5-Coder Technical Report

Binyuan Hui, Jian Yang, Zeyu Cui, Jiaxi Yang, Dayiheng Liu, Lei Zhang, Tianyu Liu, Jiajun Zhang, Bowen Yu, Keming Lu, Kai Dang, Yang Fan, Yichang Zhang, An Yang, Rui Men, Fei Huang, Bo Zheng, Yibo Miao, Shanghaoran Quan, Yunlong Feng, Xingzhang Ren, Xuancheng Ren, Jingren Zhou, Junyang Lin

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

An Empirical Study on the Code Refactoring Capability of Large Language Models

Jonathan Cordeiro, Shayan Noei, Ying Zou

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

Do Advanced Language Models Eliminate the Need for Prompt Engineering in Software Engineering?

Guoqing Wang, Zeyu Sun, Zhihao Gong, Sixiang Ye, Yizhou Chen, Yifan Zhao, Qingyuan Liang, Dan Hao

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

Building A Coding Assistant via the Retrieval-Augmented Language Model

Xinze Li, Hanbin Wang, Zhenghao Liu, Shi Yu, Shuo Wang, Yukun Yan, Yukai Fu, Yu Gu, Ge Yu

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

Evaluating LLMs' Mathematical and Coding Competency through Ontology-guided Interventions

Pengfei Hong, Navonil Majumder, Deepanway Ghosal, Somak Aditya, Rada Mihalcea, Soujanya Poria

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

Comments With o1 and GPT-4o results. Reformatted the data and presented more analysis

Polymorphic Metaprogramming with Memory Management -- An Adjoint Analysis of Metaprogramming

Junyoung Jang, Brigitte Pientka

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

Ethics of Software Programming with Generative AI: Is Programming without Generative AI always radical?

Marcellin Atemkeng, Sisipho Hamlomo, Brian Welman, Nicole Oyetunji, Pouya Ataei, Jean Louis K. E Fendji

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

Explainable Behavior Cloning: Teaching Large Language Model Agents through Learning by Demonstration

Yanchu Guan, Dong Wang, Yan Wang, Haiqing Wang, Renen Sun, Chenyi Zhuang, Jinjie Gu, Zhixuan Chu

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

Comments 20 pages

Substance Beats Style: Why Beginning Students Fail to Code with LLMs

Francesca Lucchetti, Zixuan Wu, Arjun Guha, Molly Q Feldman, Carolyn Jane Anderson

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

Watermarking Large Language Models and the Generated Content: Opportunities and Challenges

Ruisi Zhang, Farinaz Koushanfar

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

Comments invited paper to Asilomar Conference on Signals, Systems, and Computers

Large Language Models in Computer Science Education: A Systematic Literature Review

Nishat Raihan, Mohammed Latif Siddiq, Joanna C. S. Santos, Marcos Zampieri

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

Comments Accepted at 56th ACM Technical Symposium on Computer Science Education (SIGCSE TS 2025)

Materials science in the era of large language models: a perspective

Ge Lei, Ronan Docherty, Samuel J. Cooper

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

Journal ref Digital Discovery, 2024,3, 1257-1272

Can Large Language Models Generate Geospatial Code?

Shuyang Hou, Zhangxiao Shen, Jianyuan Liang, Anqi Zhao, Zhipeng Gui, Rui Li, Huayi Wu

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

Deep Learning-based Software Engineering: Progress, Challenges, and Opportunities

Xiangping Chen, Xing Hu, Yuan Huang, He Jiang, Weixing Ji, Yanjie Jiang, Yanyan Jiang, Bo Liu, Hui Liu, Xiaochen Li, Xiaoli Lian, Guozhu Meng, Xin Peng, Hailong Sun, Lin Shi, Bo Wang, Chong Wang, Jiayi Wang, Tiantian Wang, Jifeng Xuan, Xin Xia, Yibiao Yang, Yixin Yang, Li Zhang, Yuming Zhou, Lu Zhang

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

Comments Accepted in SCIENCE CHINA Information Sciences

SciDoc2Diagrammer-MAF: Towards Generation of Scientific Diagrams from Documents guided by Multi-Aspect Feedback Refinement

Ishani Mondal, Zongxia Li, Yufang Hou, Anandhavelu Natarajan, Aparna Garimella, Jordan Boyd-Graber

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

Comments Code and data available at https://github.com/Ishani-Mondal/SciDoc2DiagramGeneration

Journal ref Empirical Methods in Natural Language Processing 2024

Evidence of Cognitive Deficits andDevelopmental Advances in Generative AI: A Clock Drawing Test Analysis

Isaac R. Galatzer-Levy, Jed McGiffin, David Munday, Xin Liu, Danny Karmon, Ilia Labzovsky, Rivka Moroshko, Amir Zait, Daniel McDuff

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

Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks

Jiawei Lu, Haoye Wang, Zhongxin Liu, Keyu Liang, Lingfeng Bao, Xiaohu Yang

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

Comments to appear at the 39th IEEE/ACM International Conference on Automated Software Engineering (ASE 2024)

Using AI Assistants in Software Development: A Qualitative Study on Security Practices and Concerns

Jan H. Klemmer, Stefan Albert Horstmann, Nikhil Patnaik, Cordelia Ludden, Cordell Burton, Carson Powers, Fabio Massacci, Akond Rahman, Daniel Votipka, Heather Richter Lipford, Awais Rashid, Alena Naiakshina, Sascha Fahl

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

Comments Extended version of the paper that appeared at ACM CCS 2024. 21 pages, 2 figures, 3 tables

COrAL: Order-Agnostic Language Modeling for Efficient Iterative Refinement

Yuxi Xie, Anirudh Goyal, Xiaobao Wu, Xunjian Yin, Xiao Xu, Min-Yen Kan, Liangming Pan, William Yang Wang

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

Comments 12 pages, 7 figures, 3 tables (23 pages, 9 figures, 4 tables including references and appendices)