Leveraging Low-Level Symbolic Competences for Unsupervised Grounding in Hallucination Detection

Hallucination-where a language model generates outputs that are factually incorrect or unsupported by the source-is a major challenge for both prompted and fine-tuned language models. Detecting hallucinations is difficult due to the opaque reasoning processes of LLMs, which often provide little insi