Bang-Hua Zhu

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...