מושגי ליבה
Simulation-based frameworks can enhance the reasoning abilities of large language models in complex human systems.
סטטיסטיקה
Large language models (LLMs) exhibit remarkable open-domain reasoning capabilities.
Techniques like fine-tuning (FT), chain-of-thought (CoT), in-context learning (ICL), and retrieval-augmented generation (RAG) enhance LLM performance.
Simulation techniques are effective in tackling challenges within complex human systems.
ציטוטים
"In MEOW, real game data are processed by an expert model trained on simulated data and converted into natural language prompts as expert observation to assist LLM reasoning."
"MEOW addresses challenges in analyzing problems in complex human systems and is capable of collaborating with existing LLM reasoning reinforcement approaches."