CMAT: A Collaborative Multi-Agent Tuning Framework for Enhancing Small Language Models

The CMAT framework introduces a structured environment where individual agents with specialized roles and capabilities work together to process information, make decisions, and solve complex tasks, enabling more scalable and flexible training of language models.