Training Data and LLM Scientific Discovery

A new study reports that increasing the rate of once-seen facts improved scientific discovery results in materials science and regulatory genomics across model families and reasoning budgets, while testing diversity as an alternative explanation. The result suggests data composition may affect discovery capacity, but controls and generalization need close review.