DiscoveryRSI: recursive multi-agent evolution for scientific hypothesis discovery

PhAILabs · hf · 2026-10-19

DiscoveryRSI, from PhAI Labs and 16 partner institutions including CUHK, Michigan, Stanford, and Harvard Medical School, uses multi-agent evolutionary search and recursive self-improvement to generate testable scientific hypotheses, outperforming baseline agents on life-science benchmarks. Code, models, and the DiscoveryRSI Arena leaderboard are publicly released.

Related event: DiscoveryRSI: Open Framework for Recursive Scientific Hypothesis Generation Outperforms Top Models(3 posts)→

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