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20242026
most citedVAULT: Vigilant Adversarial Updates via LLM-Driven Retrieval-Augmented Generation for NLI

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cs.CL2026

Learning What to Fail On: Failure-Mode Contextual Bandits for Adversarial Data Curation

Roie Kazoom, Ofir Cohen, Rami Puzis +2

We introduce a failure-aware adversarial retrieval-augmented framework for improving robustness in natural language understanding. Rather than selecting synthetic examples with a f…