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Large Language Models are related to the concept of mind through the BAFH framework, which evaluates the belief states of models like Gemma-2 and Llama-3.1 against the MIND baseline as described in [1].
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EdinburghNLP/awesome-hallucination-detection - GitHub github.com 1 fact
procedureThe BAFH framework is a lightweight method that trains a feedforward classifier on hidden states of Large Language Models to determine belief states and classify hallucination types, as evaluated against MIND and SAR baselines using Gemma-2, Llama-3.1, and Mistral models.