Research Index

A novel framework combining length-controlled reasoning with multi-agent collaboration for efficient problem-solving. The system dynamically adjusts reasoning depth and agent interaction based on task complexity, using reinforcement learning to optimize both computational efficiency and solution accuracy.

A novel framework combining adaptive length control and multi-agent collaboration for efficient LLM reasoning. The system dynamically adjusts reasoning length and complexity based on task difficulty while leveraging specialized agent roles to optimize computation and accuracy trade-offs.