Saved in:
| Main Author: | Dong-Kyu, Lee |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2407.04722 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Evaluation of the Code Generation Capabilities of ChatGPT 4: A Comparative Analysis in 19 Programming Languages
by: Gilbert, L. C.
Published: (2025)
by: Gilbert, L. C.
Published: (2025)
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024)
by: Hou, Shuyang, et al.
Published: (2024)
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers
by: Siam, Md Kamrul, et al.
Published: (2024)
by: Siam, Md Kamrul, et al.
Published: (2024)
Distilled GPT for Source Code Summarization
by: Su, Chia-Yi, et al.
Published: (2023)
by: Su, Chia-Yi, et al.
Published: (2023)
Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)
by: Cihan, Umut, et al.
Published: (2025)
Do Current Language Models Support Code Intelligence for R Programming Language?
by: Zhao, ZiXiao, et al.
Published: (2024)
by: Zhao, ZiXiao, et al.
Published: (2024)
CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
by: Xiong, Zhanhang, et al.
Published: (2025)
by: Xiong, Zhanhang, et al.
Published: (2025)
Chatbot-Based Assessment of Code Understanding in Automated Programming Assessment Systems
by: Frankford, Eduard, et al.
Published: (2026)
by: Frankford, Eduard, et al.
Published: (2026)
Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
by: Della Porta, Antonio, et al.
Published: (2025)
by: Della Porta, Antonio, et al.
Published: (2025)
Rethinking Code Review in the Age of AI: A Vision for Agentic Code Review
by: Kamalı, Hüseyin Özgür, et al.
Published: (2026)
by: Kamalı, Hüseyin Özgür, et al.
Published: (2026)
On Iterative Evaluation and Enhancement of Code Quality Using GPT-4o
by: Liu, Rundong, et al.
Published: (2025)
by: Liu, Rundong, et al.
Published: (2025)
A Dataset and Preliminary Study of Using GPT-5 for Code-change Impact Analysis
by: Stengg, Katharina, et al.
Published: (2025)
by: Stengg, Katharina, et al.
Published: (2025)
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor
by: Gao, Weibo, et al.
Published: (2025)
by: Gao, Weibo, et al.
Published: (2025)
Combining Large Language Models with Static Analyzers for Code Review Generation
by: Jaoua, Imen, et al.
Published: (2025)
by: Jaoua, Imen, et al.
Published: (2025)
Automated Code Review Using Large Language Models with Symbolic Reasoning
by: Icoz, Busra, et al.
Published: (2025)
by: Icoz, Busra, et al.
Published: (2025)
Code Red! On the Harmfulness of Applying Off-the-shelf Large Language Models to Programming Tasks
by: Al-Kaswan, Ali, et al.
Published: (2025)
by: Al-Kaswan, Ali, et al.
Published: (2025)
CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation
by: Du, Kounianhua, et al.
Published: (2024)
by: Du, Kounianhua, et al.
Published: (2024)
ChatGPT vs. DeepSeek: A Comparative Study on AI-Based Code Generation
by: Manik, Md Motaleb Hossen
Published: (2025)
by: Manik, Md Motaleb Hossen
Published: (2025)
A Contemporary Survey of Large Language Model Assisted Program Analysis
by: Wang, Jiayimei, et al.
Published: (2025)
by: Wang, Jiayimei, et al.
Published: (2025)
AI-Assisted Code Review as a Scaffold for Code Quality and Self-Regulated Learning: An Experience Report
by: Oliveira, Eduardo, et al.
Published: (2026)
by: Oliveira, Eduardo, et al.
Published: (2026)
Learn to Code Sustainably: An Empirical Study on LLM-based Green Code Generation
by: Vartziotis, Tina, et al.
Published: (2024)
by: Vartziotis, Tina, et al.
Published: (2024)
GenCode: A Generic Data Augmentation Framework for Boosting Deep Learning-Based Code Understanding
by: Dong, Zeming, et al.
Published: (2024)
by: Dong, Zeming, et al.
Published: (2024)
Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
by: He, Mengliang, et al.
Published: (2025)
by: He, Mengliang, et al.
Published: (2025)
AutoCodeRover: Autonomous Program Improvement
by: Zhang, Yuntong, et al.
Published: (2024)
by: Zhang, Yuntong, et al.
Published: (2024)
Previously on... Automating Code Review
by: Heumüller, Robert, et al.
Published: (2025)
by: Heumüller, Robert, et al.
Published: (2025)
Code Review Agent Benchmark
by: Zhang, Yuntong, et al.
Published: (2026)
by: Zhang, Yuntong, et al.
Published: (2026)
Bias Testing and Mitigation in LLM-based Code Generation
by: Huang, Dong, et al.
Published: (2023)
by: Huang, Dong, et al.
Published: (2023)
Prompt Driven Development with Claude Code: Building a Complete TUI Framework for the Ring Programming Language
by: Fayed, Mahmoud Samir, et al.
Published: (2026)
by: Fayed, Mahmoud Samir, et al.
Published: (2026)
AI-Assisted Assessment of Coding Practices in Modern Code Review
by: Vijayvergiya, Manushree, et al.
Published: (2024)
by: Vijayvergiya, Manushree, et al.
Published: (2024)
Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review
by: Li, Lin, et al.
Published: (2024)
by: Li, Lin, et al.
Published: (2024)
CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation
by: Huang, Dong, et al.
Published: (2023)
by: Huang, Dong, et al.
Published: (2023)
Exploring Zero-Shot App Review Classification with ChatGPT: Challenges and Potential
by: Chaudhary, Mohit, et al.
Published: (2025)
by: Chaudhary, Mohit, et al.
Published: (2025)
CAM: A Causality-based Analysis Framework for Multi-Agent Code Generation Systems
by: Lyu, Zongyi, et al.
Published: (2026)
by: Lyu, Zongyi, et al.
Published: (2026)
Automatic Building Code Review: A Case Study
by: Wan, Hanlong, et al.
Published: (2025)
by: Wan, Hanlong, et al.
Published: (2025)
Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming
by: Ashraf, Humza, et al.
Published: (2025)
by: Ashraf, Humza, et al.
Published: (2025)
A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions
by: Chochlov, Muslim, et al.
Published: (2026)
by: Chochlov, Muslim, et al.
Published: (2026)
Identifying Performance-Sensitive Configurations in Software Systems through Code Analysis with LLM Agents
by: Wang, Zehao, et al.
Published: (2024)
by: Wang, Zehao, et al.
Published: (2024)
Automating Patch Set Generation from Code Review Comments Using Large Language Models
by: Rahman, Tajmilur, et al.
Published: (2024)
by: Rahman, Tajmilur, et al.
Published: (2024)
Planning-Driven Programming: A Large Language Model Programming Workflow
by: Lei, Chao, et al.
Published: (2024)
by: Lei, Chao, et al.
Published: (2024)
CLAP: Learning Transferable Binary Code Representations with Natural Language Supervision
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
Similar Items
-
Evaluation of the Code Generation Capabilities of ChatGPT 4: A Comparative Analysis in 19 Programming Languages
by: Gilbert, L. C.
Published: (2025) -
GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
by: Hou, Shuyang, et al.
Published: (2024) -
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers
by: Siam, Md Kamrul, et al.
Published: (2024) -
Distilled GPT for Source Code Summarization
by: Su, Chia-Yi, et al.
Published: (2023) -
Evaluating Large Language Models for Code Review
by: Cihan, Umut, et al.
Published: (2025)