Local calibration of likelihood ratios conditioned on hidden-space position corrects Simpson's paradox in token averaging and substantially improves machine-text detection across baselines.
DALD: Improving Logits-based Detector without Logits from Black-box LLMs.Advances in Neural Information Processing Systems, 37:54947–54973, 2024
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Log-Likelihood, Simpson's Paradox, and the Detection of Machine-Generated Text
Local calibration of likelihood ratios conditioned on hidden-space position corrects Simpson's paradox in token averaging and substantially improves machine-text detection across baselines.