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cs.LG2025
FactsR: A Safer Method for Producing High Quality Healthcare Documentation
Victor Petrén Bach Hansen, Lasse Krogsbøll, Jonas Lyngsø +4
There are now a multitude of AI-scribing solutions for healthcare promising the utilization of large language models for ambient documentation. However, these AI scribes still rely…
cs.LG2024
Normalized AOPC: Fixing Misleading Faithfulness Metrics for Feature Attribution Explainability
Joakim Edin, Andreas Geert Motzfeldt, Casper L. Christensen +3
Deep neural network predictions are notoriously difficult to interpret. Feature attribution methods aim to explain these predictions by identifying the contribution of each input f…