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News/AURORA: Asymmetry and Update-Induced Rotation for Robust Hallucination Detection in Large Language Models
arxiv
PublishedJune 30, 2026 at 4:00 AM

AURORA: Asymmetry and Update-Induced Rotation for Robust Hallucination Detection in Large Language Models

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arXiv:2606.29545v1 Announce Type: new Abstract: Large Language Models (LLMs) have demonstrated remarkable capabilities across a wide range of natural language processing tasks. However, their tendency to generate hallucinations, namely factually incorrect or unfaithful outputs, poses a critical obst

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