Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search
Yangtze-ailab · hf · 2026-08-18
Proposes a recurrent Large Discovery Model (LDM) coupling generative proposals with a Bayesian non-parametric reward surrogate to guide uncertainty-aware search across molecules, proteins, and programs.
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