Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection
This work investigates whether an LLM can use an alternative, low level, symbolic competence such as SQL for unsupervised hallucination detection in some high level task and finds that this approach improves on direct prediction and competes with state-of-the-art hallucination detection methods, while not requiring dom...
Renato Vukovic, Hsien-Chin Lin, Carel van Niekerk et al.
· 0 citations