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A reference-based method that audits bias in hidden-state representations across related model variants across related model variants, for example before and after fine-tuning, which is complementary to output-based auditing rather than a replacement for it.
Fixing the teacher's weights during Test-Time Adaptation can lead to substantial performance gains and greater robustness against hyperparameter changes.
Backpropagation-free test-time adaptation can be both accurate and efficient: PACE achieves state-of-the-art accuracy while slashing runtime by over 50%.
Forget expensive human annotation: high-quality Polish vision-language models can be bootstrapped with large-scale automated translation and lightweight filtering, achieving a 9.5% performance boost.