Sarvesh Soni
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126
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NLP×1AI×1
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2026
Reverse Probing: Supervised Token-level Uncertainty Quantification for Large Language Models in Clinical Text
The paper introduces Reverse Probing, a novel framework that quantifies token-level uncertainty in large language models (LLMs) specifically for clinical text by analyzing internal model activations, achieving state-of-the-art performance on expert-annotated datasets.
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