Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation
A failure-aware adversarial retrieval-augmented framework for improving robustness in natural language understanding that combines retrieval, automated validation, contextual-bandit failure selection, and controlled adversarial retraining, enables scalable robustness improvement without additional human annotation.