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arXiv cs.AI·

Predictable Confabulations: Factual Recall by LLMs Scales with Model Size and Topic Frequency

Signal
78
Hype
15
In three linesStudy of 38 models on 8,900 scholarly references: factual recall quality follows a sigmoid combining model size and topic frequency in training data. These two variables explain 60% of variance across dense models, rising to 74-94% within individual model families.
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