AIBullisharXiv – CS AI · 18h ago7/10
🧠
Language-based Trial and Error Falls Behind in the Era of Experience
Researchers propose SCOUT, a framework that uses lightweight 'scout' models to explore complex tasks efficiently, then transfers learned knowledge to larger language models via supervised fine-tuning and reinforcement learning. The approach enables a 3B parameter model to outperform Gemini-2.5-Pro while reducing computational costs by 60%, addressing a fundamental bottleneck in deploying LLMs to non-linguistic environments.
🧠 Gemini