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Adewale Akinfaderin

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Preprint Jul 2026

Super Weights in LLMs and the Failure of Selective Training

It is established that parameter importance does not imply parameter trainability in isolation, and that effective fine-tuning relies on structured decompositions over entire layers rather than targeting individually important weights.

S. Subramanian, Adewale Akinfaderin, Akarsha Sehwag · 0 citations

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