arxiv
PublishedJune 11, 2026 at 4:00 AM
From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data
Publisher summary· verbatim
arXiv:2606.07537v1 Announce Type: cross Abstract: Large language models hallucinate--producing fluent, confident, factually wrong outputs--with a consistency that persists across generations and scales. Existing taxonomies classify hallucination by output type, distinguishing intrinsic from extrinsi
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Originally published on arxiv ↗