Summary
This paper introduces RecursiveMAS, a novel framework that extends the concept of recursive computation from single language models to multi-agent systems. By treating the entire multi-agent collaboration as a unified, latent-space recursive computation, the framework aims to scale agent interaction and deepen reasoning. This approach seeks to enhance the sophistication and problem-solving capabilities of collaborative AI systems.
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[Paper] Ruka-v2: Tendon Driven Open-Source Dexterous Hand with Wrist and Abduction for Robot Learning
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