Enoki: Efficient Multi-Level Hallucination Detection
This work proposes Enoki, an Open Information Extraction framework for multi-level hallucination detection that supports LLM-based, encoder-based, and rule-based extraction regimes, balancing accuracy and inference cost through a common interface.
Elisei Rykov, Timur Ionov, Nikolay Ivanov et al.
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