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clinical text summarization

otheractiveclinical-text-summarization-334d93a1·1 events·first seen May 28, 2026

Aliases: clinical text summarization

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Reverse Probing delta energy AUPRC Uncertainty Quantification

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5arXiv · cs.AI·May 28, 2026·source ↗

Reverse Probing: Supervised Token-level Uncertainty Quantification for LLMs in Clinical Text

The paper introduces Reverse Probing, a novel uncertainty quantification framework designed specifically for clinical text summarization that estimates token-level uncertainty from pre-existing labeled summaries rather than sampling new outputs. It extracts uncertainty signals from four categories of internal model activations, treating text as a probe into the model's internal state. Evaluated on two expert-annotated clinical datasets, it outperforms eight adapted baselines on all metrics, achieving up to 4× higher AUPRC while reducing inference time and compute. Feature analysis identifies delta energy and neighborhood context as the most consistent predictors of uncertainty across models.

Evaluation and Benchmarking AI Safety Research Reverse Probing delta energy AUPRC +3 more