Lowest Span Confidence: Zero-Shot Hallucination Detection from a Single LLM Response
Factual evidence
What the source reports
Researchers propose Lowest Span Confidence, a zero-shot hallucination detection metric designed for API-based LLM outputs.
Inspect the evidence
- Inclusion basis
- Enterprise AI
- Publisher and source type
- arXiv cs.CL — Computation and Language · RESEARCH
- Published by source
- 1 October 2026
- Collected by OneBench
- 2 Oct 2026, 03:01 UK
Stored source excerpt
arXiv:2601.19918v2 Announce Type: replace Abstract: Hallucinations in Large Language Models (LLMs), i.e., plausible but non-factual generations, pose a significant challenge to reliable deployment in high-stakes…
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OneBench interpretation
Institutional assessment
So what
Single-response hallucination detection cuts compute costs for monitoring black-box API models used in customer-facing or decision-support tools.
Do what
Review the metric with the team responsible for model risk management when assessing validation approaches for third-party API models.