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 insight into why a model...
Renato Vukovic, Hsien-Chin Lin, Carel van Niekerk et al.
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