Copertina

ResearchCodeAgent: An LLM Multi-Agent System for Automated Codification of Research Methodologies

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Gandhi, Shubham, Shah, Dhruv, Patwardhan, Manasi, Vig, Lovekesh, Shroff, Gautam
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Software Engineering Artificial Intelligence Computation and Language Multiagent Systems
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

BudgetMLAgent: A Cost-Effective LLM Multi-Agent system for Automating Machine Learning Tasks
di: Gandhi, Shubham, et al.
Pubblicazione: (2024)

Analyzing Code Injection Attacks on LLM-based Multi-Agent Systems in Software Development
di: Bowers, Brian, et al.
Pubblicazione: (2025)

$λ_A$: A Typed Lambda Calculus for LLM Agent Composition
di: Liu, Qin
Pubblicazione: (2026)

Nexus: A Lightweight and Scalable Multi-Agent Framework for Complex Tasks Automation
di: Sami, Humza, et al.
Pubblicazione: (2025)

BootstrapAgent: Distilling Repository Setup into Reusable Agent Knowledge
di: Fu, Sihan, et al.
Pubblicazione: (2026)

ReDel: A Toolkit for LLM-Powered Recursive Multi-Agent Systems
di: Zhu, Andrew, et al.
Pubblicazione: (2024)

Acceleron: A Tool to Accelerate Research Ideation
di: Nigam, Harshit, et al.
Pubblicazione: (2024)

Self-Organized Agents: A LLM Multi-Agent Framework toward Ultra Large-Scale Code Generation and Optimization
di: Ishibashi, Yoichi, et al.
Pubblicazione: (2024)

ChatDev: Communicative Agents for Software Development
di: Qian, Chen, et al.
Pubblicazione: (2023)

LDP: An Identity-Aware Protocol for Multi-Agent LLM Systems
di: Prakash, Sunil
Pubblicazione: (2026)

Bridging the Prototype-Production Gap: A Multi-Agent System for Notebooks Transformation
di: Elhashemy, Hanya, et al.
Pubblicazione: (2025)

Fairness in Multi-Agent Systems for Software Engineering: An SDLC-Oriented Rapid Review
di: Yang-Smith, Corey, et al.
Pubblicazione: (2026)

SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers
di: Xiang, Yanzheng, et al.
Pubblicazione: (2025)

Facilitating Trustworthy Human-Agent Collaboration in LLM-based Multi-Agent System oriented Software Engineering
di: Ronanki, Krishna
Pubblicazione: (2025)

AgentGit: A Version Control Framework for Reliable and Scalable LLM-Powered Multi-Agent Systems
di: Li, Yang, et al.
Pubblicazione: (2025)

Extending the OWASP Multi-Agentic System Threat Modeling Guide: Insights from Multi-Agent Security Research
di: Krawiecka, Klaudia, et al.
Pubblicazione: (2025)

CodeCureAgent: Automatic Classification and Repair of Static Analysis Warnings
di: Joos, Pascal, et al.
Pubblicazione: (2025)

Multi-Agent Collaboration via Cross-Team Orchestration
di: Du, Zhuoyun, et al.
Pubblicazione: (2024)

WebTestBench: Evaluating Computer-Use Agents towards End-to-End Automated Web Testing
di: Kong, Fanheng, et al.
Pubblicazione: (2026)

GateLens: A Reasoning-Enhanced LLM Agent for Automotive Software Release Analytics
di: Khoee, Arsham Gholamzadeh, et al.
Pubblicazione: (2025)

Assessing and Enhancing the Robustness of LLM-based Multi-Agent Systems Through Chaos Engineering
di: Owotogbe, Joshua
Pubblicazione: (2025)

SWE-WebDevBench: Evaluating Coding Agent Application Platforms as Virtual Software Agencies
di: Saxena, Siddhant, et al.
Pubblicazione: (2026)

Co-Saving: Resource Aware Multi-Agent Collaboration for Software Development
di: Qiu, Rennai, et al.
Pubblicazione: (2025)

Externalization in LLM Agents: A Unified Review of Memory, Skills, Protocols and Harness Engineering
di: Zhou, Chenyu, et al.
Pubblicazione: (2026)

AI-Generated Code Is Not Reproducible (Yet): An Empirical Study of Dependency Gaps in LLM-Based Coding Agents
di: Vangala, Bhanu Prakash, et al.
Pubblicazione: (2025)

Multi-Agent LLM Committees for Autonomous Software Beta Testing
di: Karanam, Sumanth Bharadwaj Hachalli, et al.
Pubblicazione: (2025)

LLM-Powered Fully Automated Chaos Engineering: Towards Enabling Anyone to Build Resilient Software Systems at Low Cost
di: Kikuta, Daisuke, et al.
Pubblicazione: (2025)

Iterative Experience Refinement of Software-Developing Agents
di: Qian, Chen, et al.
Pubblicazione: (2024)

AutoFSM: A Multi-agent Framework for FSM Code Generation with IR and SystemC-Based Testing
di: Luo, Qiuming, et al.
Pubblicazione: (2025)

Enabling Autonomic Microservice Management through Self-Learning Agents
di: Yu, Fenglin, et al.
Pubblicazione: (2025)

Accelerating Drug Discovery Through Agentic AI: A Multi-Agent Approach to Laboratory Automation in the DMTA Cycle
di: Fehlis, Yao, et al.
Pubblicazione: (2025)

ABMax: A JAX-based Agent-based Modeling Framework
di: Chaturvedi, Siddharth, et al.
Pubblicazione: (2025)

Real-Time BDI Agents: a model and its implementation
di: Traldi, Andrea, et al.
Pubblicazione: (2022)

EnergyTwin: A Multi-Agent System for Simulating and Coordinating Energy Microgrids
di: Muszyński, Jakub, et al.
Pubblicazione: (2025)

Resolving Java Code Repository Issues with iSWE Agent
di: Ganhotra, Jatin, et al.
Pubblicazione: (2026)

AIAP: A No-Code Workflow Builder for Non-Experts with Natural Language and Multi-Agent Collaboration
di: An, Hyunjn, et al.
Pubblicazione: (2025)

Cognitive Agents Powered by Large Language Models for Agile Software Project Management
di: Cinkusz, Konrad, et al.
Pubblicazione: (2025)

REFINE: Enhancing Program Repair Agents through Context-Aware Patch Refinement
di: Pabba, Anvith, et al.
Pubblicazione: (2025)

Gecko: A Simulation Environment with Stateful Feedback for Refining Agent Tool Calls
di: Zhang, Zeyu, et al.
Pubblicazione: (2026)

Sketch2Simulation: Automating Flowsheet Generation via Multi Agent Large Language Models
di: Bahamdan, Abdullah, et al.
Pubblicazione: (2026)