Copertina

Enhancing Code Consistency in AI Research with Large Language Models and Retrieval-Augmented Generation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Keshri, Rajat, Zachariah, Arun George, Boone, Michael
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Model-Driven Quantum Code Generation Using Large Language Models and Retrieval-Augmented Generation
di: Siavash, Nazanin, et al.
Pubblicazione: (2025)

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation
di: Bhattarai, Manish, et al.
Pubblicazione: (2024)

AI-Augmented CI/CD Pipelines: From Code Commit to Production with Autonomous Decisions
di: Baqar, Mohammad, et al.
Pubblicazione: (2025)

Enhancing Cross-Language Code Translation via Task-Specific Embedding Alignment in Retrieval-Augmented Generation
di: Bhattarai, Manish, et al.
Pubblicazione: (2024)

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements
di: Abtahi, Seyed Moein, et al.
Pubblicazione: (2025)

CodeGRAG: Bridging the Gap between Natural Language and Programming Language via Graphical Retrieval Augmented Generation
di: Du, Kounianhua, et al.
Pubblicazione: (2024)

Towards Advancing Code Generation with Large Language Models: A Research Roadmap
di: Jin, Haolin, et al.
Pubblicazione: (2025)

Enhancing Large Language Models in Coding Through Multi-Perspective Self-Consistency
di: Huang, Baizhou, et al.
Pubblicazione: (2023)

The Future of Software Testing: AI-Powered Test Case Generation and Validation
di: Baqar, Mohammad, et al.
Pubblicazione: (2024)

ReCode: Improving LLM-based Code Repair with Fine-Grained Retrieval-Augmented Generation
di: Zhao, Yicong, et al.
Pubblicazione: (2025)

Enhancing High-Quality Code Generation in Large Language Models with Comparative Prefix-Tuning
di: Jiang, Yuan, et al.
Pubblicazione: (2025)

Optimizing Code Runtime Performance through Context-Aware Retrieval-Augmented Generation
di: Acharya, Manish, et al.
Pubblicazione: (2025)

Accurate and Consistent Graph Model Generation from Text with Large Language Models
di: Chen, Boqi, et al.
Pubblicazione: (2025)

Task Abstention for Large Language Models in Code Generation
di: Zhou, Yanke, et al.
Pubblicazione: (2026)

Automated Repair of AI Code with Large Language Models and Formal Verification
di: Charalambous, Yiannis, et al.
Pubblicazione: (2024)

Class-Level Code Generation from Natural Language Using Iterative, Tool-Enhanced Reasoning over Repository
di: Deshpande, Ajinkya, et al.
Pubblicazione: (2024)

Large Language Model Guided Self-Debugging Code Generation
di: Adnan, Muntasir, et al.
Pubblicazione: (2025)

Personality-Guided Code Generation Using Large Language Models
di: Guo, Yaoqi, et al.
Pubblicazione: (2024)

Bugs in Large Language Models Generated Code: An Empirical Study
di: Tambon, Florian, et al.
Pubblicazione: (2024)

Energy-Aware Code Generation with LLMs: Benchmarking Small vs. Large Language Models for Sustainable AI Programming
di: Ashraf, Humza, et al.
Pubblicazione: (2025)

GeoCode-GPT: A Large Language Model for Geospatial Code Generation Tasks
di: Hou, Shuyang, et al.
Pubblicazione: (2024)

GenAI-powered Multi-Agent Paradigm for Smart Urban Mobility: Opportunities and Challenges for Integrating Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) with Intelligent Transportation Systems
di: Xu, Haowen, et al.
Pubblicazione: (2024)

ARCS: Agentic Retrieval-Augmented Code Synthesis with Iterative Refinement
di: Bhattarai, Manish, et al.
Pubblicazione: (2025)

AutoCoder: Enhancing Code Large Language Model with \textsc{AIEV-Instruct}
di: Lei, Bin, et al.
Pubblicazione: (2024)

Flow2Code: Evaluating Large Language Models for Flowchart-based Code Generation Capability
di: He, Mengliang, et al.
Pubblicazione: (2025)

Combining Large Language Models with Static Analyzers for Code Review Generation
di: Jaoua, Imen, et al.
Pubblicazione: (2025)

CRPE: Expanding The Reasoning Capability of Large Language Model for Code Generation
di: Gui, Ningxin, et al.
Pubblicazione: (2025)

A Comparative Analysis of Large Language Models for Code Documentation Generation
di: Dvivedi, Shubhang Shekhar, et al.
Pubblicazione: (2023)

CrossPL: Evaluating Large Language Models on Cross Programming Language Code Generation
di: Xiong, Zhanhang, et al.
Pubblicazione: (2025)

Evaluating the Quality of Code Comments Generated by Large Language Models for Novice Programmers
di: Fan, Aysa Xuemo, et al.
Pubblicazione: (2024)

A Tertiary Review of Large Language Model-Based Code Generating Tasks: Trends, Challenges, and Future Directions
di: Chochlov, Muslim, et al.
Pubblicazione: (2026)

CodeGolf Bench: A Multi-Language Benchmark for Evaluating Concise Code Generation Capabilities of Large Language Models
di: Padwal, Vedant
Pubblicazione: (2026)

LLM4EFFI: Leveraging Large Language Models to Enhance Code Efficiency and Correctness
di: Ye, Tong, et al.
Pubblicazione: (2025)

SimdBench: Benchmarking Large Language Models for SIMD-Intrinsic Code Generation
di: He, Yibo, et al.
Pubblicazione: (2025)

Beyond Autoregression: An Empirical Study of Diffusion Large Language Models for Code Generation
di: Li, Chengze, et al.
Pubblicazione: (2025)

TaskEval: Assessing Difficulty of Code Generation Tasks for Large Language Models
di: Tambon, Florian, et al.
Pubblicazione: (2024)

Evaluating Large Language Models for Code Review
di: Cihan, Umut, et al.
Pubblicazione: (2025)

Reverse Engineering User Stories from Code using Large Language Models
di: Ouf, Mohamed, et al.
Pubblicazione: (2025)

CodeMMR: Bridging Natural Language, Code, and Image for Unified Retrieval
di: Geng, Jiahui, et al.
Pubblicazione: (2026)

COMPASS: A Multi-Dimensional Benchmark for Evaluating Code Generation in Large Language Models
di: Meaden, James, et al.
Pubblicazione: (2025)