Papers by Luke Moffett

1 papers
Close or Cloze? Assessing the Robustness of Large Language Models to Adversarial Perturbations via Word Recovery (2025.coling-main)

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Challenge: Existing models implicitly recover the original text, but it is unclear when they rely on context and when they implicitly do so.
Approach: They propose to use a dictionary to recover adversarial words by using a phonetic, typo, and visual attack to study word recovery performance.
Outcome: The proposed model outperforms open-source models on hateful, offensive, and toxic classification tasks.

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