Preprint Open access
Beyond Solo and Consistency: Vindicating Multi-Agent Debate via Conditional Progressive Pruning
Large Language Model (LLM) based Multi-Agent Debate (MAD) is one of the most effective test time scaling techniques. Through multi-round communication, agents complement each other in knowledge and reasoning and solve tasks that no single member can solve. However, existing MAD frameworks fail to beat strong Single Age …