New adversarial surrogate losses and claimed consistency guarantees for one-stage learning-to-defer in classification and regression, with experiments suggesting improved robustness.
Adversarial robustness in two-stage learning-to-defer: Algorithms and guarantees
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Adversarial Robustness in One-Stage Learning-to-Defer
New adversarial surrogate losses and claimed consistency guarantees for one-stage learning-to-defer in classification and regression, with experiments suggesting improved robustness.
- Optimal Query Allocation in Extractive QA with LLMs: A Learning-to-Defer Framework with Theoretical Guarantees