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The Detectability Gap: Hidden Heterogeneity in Hallucination Detection Across Language Models

This story is from 2026-09-30. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.35860v1 Announce Type: new Abstract: Sampling based consistency is widely used for hallucination detection, yet aggregate performance can conceal systematic differences in which errors are detectable. This work studies that heterogeneity across four language models and three factual ques…

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  1. 2026-09-30 04:00 · arXiv cs.CL
    The Detectability Gap: Hidden Heterogeneity in Hallucination Detection Across Language Models

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