Enoki: multi-level hallucination detection from one open IE pipeline
Skoltech
Enoki unifies claim-level and span-level hallucination detection by extracting text-anchored relational facts via open information extraction, checking them against evidence, and mapping unsupported facts back to hallucinated spans without a separate alignment step. It stays competitive with LLM-heavy claim-level pipelines at lower cost, wins on span- and entity-level localization, and ships the dual-granularity EnokiQA dataset.
Why it matters
Practical, cheap hallucination localization that gives both interpretable claims and exact spans from a single framework.
Importance: 2/5
Useful hallucination-localization framework with a released dataset; modest traction
Sources
official
HuggingFace Daily Papers: Enoki