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.
Similarly, (Lampinen et al., 2022) demon- strate that incorporating natural language explana- tions during training can improve reasoning and generalization
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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.