ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control
This work proposes ABC-Align, leveraging abundant pseudo label signal to minimize variance and applying a lightweight, adaptive correction grounded in the human-labeled subset, and empirically demonstrates that ABC-Align achieves superior performance over prior semi-supervised baselines in a series of experiments on an...
Eric Frankel, Bang-Hua Zhu, Sewoong Oh et al.
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