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University of Sheffield
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Logic pre-pretraining accelerates language model skill acquisition by 36B tokens while enhancing compressibility, revealing a new path for efficient model training.
LLMs encode *how* a hypothesis relates to a premise in NLI, not just *that* it relates, opening new avenues for mechanistic interpretability.
