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Looping language models isn't just for single agents anymore: Recursive Multi-Agent Systems (RecursiveMAS) show that agent collaboration itself can be scaled through recursion, yielding faster and more efficient problem-solving.
Verifiable rewards in RL can lead to impressive performance gains in compact LLMs, but don't guarantee robust physical reasoning, instead inducing procedural solution templates.
