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From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data
Large language models produce fluent, confident, factually wrong output. Existing taxonomies classify these failures by output type -- intrinsic versus extrinsic, faithfulness versus factuality -- but say nothing about which computational component produced a given failure. We ask what would be requ
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