most citedEvaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

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cs.CL2022★ 14 cited

Evaluating the Susceptibility of Pre-Trained Language Models via Handcrafted Adversarial Examples

Hezekiah J. Branch, Jonathan Rodriguez Cefalu, Jeremy McHugh +5

Recent advances in the development of large language models have resulted in public access to state-of-the-art pre-trained language models (PLMs), including Generative Pre-trained…