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New York University Redis
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High PR-AUC scores can mislead model selection, as they often correlate with poor real-world performance in semantic caching scenarios.
LLM truthfulness is more nuanced than we thought: a new knowledge graph benchmark reveals that hallucination rates vary significantly depending on the breadth and depth of knowledge required.
