Explainability, demonstrated via methods like saliency maps, elucidates a model's decision pathway, pinpointing its focus area. It shows the model failed not from misidentification but incorrect feature attention. How to detect this with language models and hallucinated facts?
Detecting Hallucinations in Language Models via Explainability Methods
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