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usail-hkustLLM agent for complex mathematical modeling problems
Top 57.1% on SourcePulse
Mathematical modeling problems are addressed by MM-Agent, an LLM-based system simulating expert human workflows. It targets students and researchers, particularly for competitions like MCM/ICM, offering an end-to-end automated solution from problem analysis to report generation, aiming to boost productivity and accuracy.
How It Works
MM-Agent simulates a four-stage human process: Problem Analysis, Mathematical Modeling, Computational Solving, and Solution Reporting. A core innovation is the Hierarchical Mathematical Modeling Library (HMML), a structured knowledge base enabling problem-aware and solution-aware retrieval of modeling strategies via an actor-critic mechanism. The Computational Solving stage autonomously generates and refines code using MLE-Solver, ensuring efficient execution.
Quick Start & Requirements
python MMAgent/main.py --key "your_openai_key" --task "task_id"pip install -r requirements.txt.Highlighted Details
Maintenance & Community
contact@mm-agent.ai).Licensing & Compatibility
Limitations & Caveats
The CC BY-NC 4.0 license prohibits commercial applications. Access to beta features and server resources may be limited and prioritized based on GitHub stars. Currently, the system supports specific LLMs: OpenAI's gpt-4o and DeepSeek's deepseek-R1.
5 days ago
Inactive
microsoft
grapeot