Learning When to Trust LLM Priors: A Validated Framework for Semantic Prior Integration

Erica Zhang, Naomi Sagan, Danny Tse +3

Large language models (LLMs) encode rich semantic knowledge that can be useful for supervised learning, but their outputs are unreliable as statistical priors: they may be noisy, m…