Linklog | Geometric Hallucination Detection via Directional Consistency in Embedding Space

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This paper brings a very geometric approach to LLM hallucinations evaluation. It argues that using angles of displacement vectors between question and answer embeddings provides a powerful metric for hallucinations. Relevancy becomes a mean domain-centric vector (which can be calibrated beforehand) and deviations from that vector can be recognized as hallucinations.

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