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Ying-Xin Chen

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#machine learning Preprint Sep 2026

Hierarchical Response Preservation for Continual Adaptation of Zero-Shot Graph-Text Models

Hierarchical Response Preservation (HiRP) is proposed, a hierarchical response that keeps each historical-class probability and sums new-class probabilities, preserving historical distinctions and aggregate competition while allowing distinctions within the new class group to adapt.

Haopeng Zhang, Yu-Han Wang, Yu-Bing Su et al. · 0 citations

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