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Why Pretrained Models Hallucinate

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Why Pretrained Models Hallucinate

Why it matters

The talk analyzes language-model hallucinations mathematically and describes how next-word prediction training can induce them even when models are trained on clean data. Its description also outlines a reduction from a “fact or hallucination” classification task to generation or prompt completion.

Discuss: If next-word prediction can induce hallucinations even from clean training data, what does the “fact or hallucination” classification-to-generation reduction reveal about making language models more reliable?

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Watch: https://www.youtube.com/watch?v=gp8tmJHkE7c

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