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For T1 ≤ t ≤ T2, we have 1 m Pm k=1⟨w(T1) I(d),k, 2o⟩ = Ω(log(d)/λ)

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cs.LG 1

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2025 1

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UNVERDICTED 1

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Provable Knowledge Acquisition and Extraction in One-Layer Transformers

cs.LG · 2025-07-28 · unverdicted · novelty 6.0

In a stylized one-layer transformer, pre-training encodes factual knowledge via relation-specific feature directions and attention patterns; fine-tuning extracts it through a relation-covering mechanism that succeeds when enough latent templates are triggered, with a failure regime explaining inauds

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  • Provable Knowledge Acquisition and Extraction in One-Layer Transformers cs.LG · 2025-07-28 · unverdicted · none · ref 56

    In a stylized one-layer transformer, pre-training encodes factual knowledge via relation-specific feature directions and attention patterns; fine-tuning extracts it through a relation-covering mechanism that succeeds when enough latent templates are triggered, with a failure regime explaining inauds