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Found 3 papers, 1 papers with code
Test-time Backdoor Mitigation for Black-Box Large Language Models with Defensive Demonstrations
Existing studies in backdoor defense have predominantly focused on the training phase, overlooking the critical aspect of testing time defense.
A Causal View of Entity Bias in (Large) Language Models
Building upon this SCM, we propose causal intervention techniques to mitigate entity bias for both white-box and black-box settings.
Feature Tracks are not Zero-Mean Gaussian
In state estimation algorithms that use feature tracks as input, it is customary to assume that the errors in feature track positions are zero-mean Gaussian.
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