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Harvard University
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PRISM enables rapid and interpretable training data attribution, achieving 500x faster insights into model behavior while maintaining high accuracy.
Escaping the confines of autoregressive generation, Bidirectional Evolutionary Search unlocks significant performance gains by recombining partial trajectories and recursively decomposing tasks into checkable subgoals.
