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Federation over Text: Insight Sharing for Multi-Agent Reasoning

Yao, Dixi et al.
arXiv (All) · Papers
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Modern agents specialize in varying domains while there is no clear approach combining different domain skills. We propose a federated learning-like framework, Federation over Text (FoT), that enables multiple clients solving different tasks to collectively generate a shared library of metacognitive
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