Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training

Moein Salimi, Babak Hosseini Mohtasham, Amin Aghakasiri +6

Large Language Models (LLMs) have demonstrated potential in automating scientific ideation, yet current approaches relying on iterative prompting or complex multi-agent architectur…