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Forget fine-tuning behemoth LLMs for every new task – this paper shows how a tiny, nimble model generating smart supplements can unlock surprisingly strong agentic performance from frozen giants.
LLM agents can reliably infer each other's "warmth" and "competence" from interaction histories, leading to significantly better coordination in complex multi-agent settings.