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arXiv AI By Md. Rejaul Korim Sadi, Toufiqur Rahman Tasin, Golam Mostofa Naeem

From Architecture to Output: Structural Origins of Hallucination in Large Language Models and the Amplifying Role of Data

Read the original on arXiv AI →

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.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv AI.

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