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cs.CL2024
CROW: Eliminating Backdoors from Large Language Models via Internal Consistency Regularization
Nay Myat Min, Long H. Pham, Yige Li +1
Large Language Models (LLMs) are vulnerable to backdoor attacks that manipulate outputs via hidden triggers. Existing defense methods--designed for vision/text classification tasks…
cs.CL2024
Do Influence Functions Work on Large Language Models?
Zhe Li, Wei Zhao, Yige Li +1
Influence functions are important for quantifying the impact of individual training data points on a model's predictions. Although extensive research has been conducted on influenc…