The detectability gap: hidden heterogeneity in hallucination detection across language models
Read the original at arxiv.org→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....
Original headline: "The Detectability Gap: Hidden Heterogeneity in Hallucination Detection Across Language Models"
Coverage timeline
- Oct 1, 04:00 UTC arXiv cs.CL lead source The Detectability Gap: Hidden Heterogeneity in Hallucination Detection Across Language Models