Cover Image

MooseAgent: A LLM Based Multi-agent Framework for Automating Moose Simulation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Tao, Liu, Zhenhai, Xin, Yong, Jiao, Yongjun
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Analysing Python Machine Learning Notebooks with Moose
by: Mignard, Marius, et al.
Published: (2025)

Engineering LLM Powered Multi-agent Framework for Autonomous CloudOps
by: Parthasarathy, Kannan, et al.
Published: (2025)

FROAV: A Framework for RAG Observation and Agent Verification -- Lowering the Barrier to LLM Agent Research
by: Lin, Tzu-Hsuan, et al.
Published: (2026)

HEAS: Hierarchical Evolutionary Agent-Based Simulation Framework for Multi-Objective Policy Search
by: Zhang, Ruiyu, et al.
Published: (2025)

DocAgent: A Multi-Agent System for Automated Code Documentation Generation
by: Yang, Dayu, et al.
Published: (2025)

PostTrainBench: Can LLM Agents Automate LLM Post-Training?
by: Rank, Ben, et al.
Published: (2026)

MASTEST: A LLM-Based Multi-Agent System For RESTful API Tests
by: Han, Xiaoke, et al.
Published: (2025)

GPU Temperature Simulation-Based Testing for In-Vehicle Deep Learning Frameworks
by: Zou, Yinglong, et al.
Published: (2025)

BugGen: A Self-Correcting Multi-Agent LLM Pipeline for Realistic RTL Bug Synthesis
by: Jasper, Surya, et al.
Published: (2025)

Automating REST API Postman Test Cases Using LLM
by: Sri, S Deepika, et al.
Published: (2024)

CA2: Code-Aware Agent for Automated Game Testing
by: Adaikkappan, Valliappan Chidambaram, et al.
Published: (2026)

LogiAgent: Automated Logical Testing for REST Systems with LLM-Based Multi-Agents
by: Zhang, Ke, et al.
Published: (2025)

SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning
by: Chi, Yizhou, et al.
Published: (2024)

Push Your Agent: Measuring and Enforcing Quantitative Goal Persistence in Long-Horizon LLM Agents
by: Cai, Yuandao, et al.
Published: (2026)

LLM-Enhanced Log Anomaly Detection: A Comprehensive Benchmark of Large Language Models for Automated System Diagnostics
by: Patel, Disha
Published: (2026)

Breaking Memorization Barriers in LLM Code Fine-Tuning via Information Bottleneck for Improved Generalization
by: Wang, Changsheng, et al.
Published: (2025)

GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
by: Wu, Jie JW, et al.
Published: (2025)

ReCodeAgent: A Multi-Agent Workflow for Language-agnostic Translation and Validation of Large-scale Repositories
by: Ibrahimzada, Ali Reza, et al.
Published: (2026)

LLM-Based Design Pattern Detection
by: Schindler, Christian, et al.
Published: (2025)

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution
by: Li, Han, et al.
Published: (2025)

AIPC: Agent-Based Automation for AI Model Deployment with Qualcomm AI Runtime
by: Su, Jianhao, et al.
Published: (2026)

Do Papers Tell the Whole Story? A Benchmark and Framework for Uncovering Hidden Implementation Gaps in Bioinformatics
by: Xu, Tianxiang, et al.
Published: (2026)

Combating Toxic Language: A Review of LLM-Based Strategies for Software Engineering
by: Zhuo, Hao, et al.
Published: (2025)

BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice
by: Li, Yuanpeng, et al.
Published: (2025)

Automating Benchmark Design
by: Dsouza, Amanda, et al.
Published: (2025)

Timing Analysis Agent: Autonomous Multi-Corner Multi-Mode (MCMM) Timing Debugging with Timing Debug Relation Graph
by: Nainani, Jatin, et al.
Published: (2025)

Knowledge-Based Multi-Agent Framework for Automated Software Architecture Design
by: Zhang, Yiran, et al.
Published: (2025)

Renaissance of Literate Programming in the Era of LLMs: Enhancing LLM-Based Code Generation in Large-Scale Projects
by: Zhang, Wuyang, et al.
Published: (2024)

EnvBench: A Benchmark for Automated Environment Setup
by: Eliseeva, Aleksandra, et al.
Published: (2025)

Automating API Documentation with LLMs: A BERTopic Approach
by: Naghshzan, AmirHossein
Published: (2025)

Cerberus: Multi-Agent Reasoning and Coverage-Guided Exploration for Static Detection of Runtime Errors
by: Dhulipala, Hridya, et al.
Published: (2025)

Automated Cloud Infrastructure-as-Code Reconciliation with AI Agents
by: Yang, Zhenning, et al.
Published: (2025)

LLM-Powered Test Case Generation for Detecting Bugs in Plausible Programs
by: Liu, Kaibo, et al.
Published: (2024)

A Machine Learning-Based Error Mitigation Approach For Reliable Software Development On IBM'S Quantum Computers
by: Muqeet, Asmar, et al.
Published: (2024)

Atropos: Improving Cost-Benefit Trade-off of LLM-based Agents under Self-Consistency with Early Termination and Model Hotswap
by: Kim, Naryeong, et al.
Published: (2026)

Exploring LLM-based Agents for Root Cause Analysis
by: Roy, Devjeet, et al.
Published: (2024)

LogSieve: Task-Aware CI Log Reduction for Sustainable LLM-Based Analysis
by: Barnes, Marcus Emmanuel, et al.
Published: (2026)

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection
by: Qi, Jiaxing, et al.
Published: (2025)

Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs
by: Shan, Shiwen, et al.
Published: (2024)

LLM Critics Help Catch LLM Bugs
by: McAleese, Nat, et al.
Published: (2024)