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Training LLMs and other models is feasible and effective using a mix of human-annotated and ML-generated labels, bypassing the bottleneck of full human annotation.
Query probabilities can stabilize and improve mean estimation accuracy by balancing uncertainty with a constant probability, revealing a surprising optimal weight configuration.