Enoki unifies claim verification and hallucination localization, cutting resources while boosting accuracy
s-nlp · hf · 2026-09-07
The s-nlp group released Enoki, an open-source framework for efficient multi-level hallucination detection.
- Unifies claim-level verification and span-level hallucination localization through shared relational facts extracted via open information extraction
- Reuses extraction across tasks, reportedly reducing resource usage while improving detection accuracy
- Targets fine-grained fact-checking of LLM outputs
Code and models are available on Hugging Face.
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