Sequential fine-tuning across related bias-detection tasks tends to raise adversarial attack success rates, but the size-resilience pattern the paper highlights is not borne out by its own data.
Shortcut learning of large language models in natural language understanding.Communications of the ACM, 67(1): 110–120, 2023
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On Adversarial Robustness of Language Models in Transfer Learning
Sequential fine-tuning across related bias-detection tasks tends to raise adversarial attack success rates, but the size-resilience pattern the paper highlights is not borne out by its own data.