Katherine Tian

Researcher at Stanford University. Lead author of the 2023 EMNLP paper showing that verbalized confidence prompts recover calibration in RLHF-trained models, providing the cleanest existing empirical foundation for SAT-style uncertainty-elicitation prompts.

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