SPIN Unprocessed October 22, 2026 ai_technology research
Language Impairment as a Lens onto Large Language Models
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arXiv:2610.28992v1 Announce Type: new Abstract: Although large language models (LLMs) encode language in highly distributed spaces, they remain vulnerable to focal disruptions---a phenomenon strikingly similar to how localized brain damage causes clinical aphasia in humans. To investigate this theoretical tension, we ask whether LLMs possess a functional structure analogous to the human language system, by introducing a novel mechanistic interpretability framework inspired by aphasia. Through tw
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