Geometry-calibrated conformal abstention lets language models abstain from uncertain queries with finite-sample guarantees on both participation rate and conditional correctness of answers.
Vempala, and Edwin Zhang
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Large-scale LLM analysis of 16k CTI reports over 20 years shows a fragmented vendor ecosystem with low overlap and reporting biases.
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Geometry-Calibrated Conformal Abstention for Language Models
Geometry-calibrated conformal abstention lets language models abstain from uncertain queries with finite-sample guarantees on both participation rate and conditional correctness of answers.
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The CTI Echo Chamber: Fragmentation, Overlap, and Vendor Specificity in Twenty Years of Cyber Threat Reporting
Large-scale LLM analysis of 16k CTI reports over 20 years shows a fragmented vendor ecosystem with low overlap and reporting biases.