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Joseph Henry Laboratories of Physics, Princeton University, Princeton, New Jersey 08544, USA
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Transformers can adaptively infer complex latent contexts, revealing a surprising link between model depth and in-context learning efficiency.
A new thermodynamic metric space quantitatively predicts the phase behavior of disordered proteins, rivaling expensive simulations without needing phase-specific training data.
