BETA adapts black-box models at test time using a local steering model and regularization techniques to achieve accuracy improvements without additional API queries or high latency.
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Adapting in the Dark: Efficient and Stable Test-Time Adaptation for Black-Box Models
BETA adapts black-box models at test time using a local steering model and regularization techniques to achieve accuracy improvements without additional API queries or high latency.