AIBullisharXiv – CS AI · 3h ago7/10
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Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text
Researchers introduce Reverse Probing, a novel uncertainty quantification framework designed specifically for clinical LLMs that estimates token-level confidence directly from existing summaries rather than sampling new outputs. The method achieves significant performance improvements on clinical datasets while reducing computational costs, advancing the critical goal of making AI systems safer for healthcare applications.