AINeutralarXiv – CS AI · 9h ago6/10
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When Does Critique Improve AI-Assisted Theoretical Physics? SCALAR: Structured Critic--Actor Loop for Agentic Reasoning
Researchers introduce SCALAR, an Actor-Critic-Judge framework that systematically evaluates how AI agents improve through human feedback on theoretical physics problems. The study reveals that multi-turn dialogue consistently outperforms single attempts, but the effectiveness of different feedback strategies depends heavily on the specific pairing of AI models used, with asymmetric model pairs benefiting most from structured critique.