Whitening Reveals Cluster Commitment as the Geometric Separator of Hallucination Types
Whitening Reveals Cluster Commitment as the Geometric Separator of Hallucination Types explores A method to identify and categorize hallucination types in LLMs using PCA-whitening, potentially leading to better evaluation metrics and mitigation strategies.. Commercial viability score: 6/10 in LLM Evaluation.
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