Reason2Decide applies staged multi-task learning with scheduled sampling to improve both prediction accuracy and rationale fidelity in clinical tasks using models 40x smaller than foundation models.
Firstly, the datasets used in this work fall under nurse triage and biomedical QA
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Reason2Decide: Rationale-Driven Multi-Task Learning
Reason2Decide applies staged multi-task learning with scheduled sampling to improve both prediction accuracy and rationale fidelity in clinical tasks using models 40x smaller than foundation models.