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C. Sung

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Preprint Jul 2026

AdaBoosting Text Prompts for Vision-Language Models

Text Prompt Boosting (TPB), an AdaBoost-inspired framework that treats each text-prompt-based classifier as a weak learner and sequentially aggregates them into a strong ensemble by explicitly targeting hard, misclassified examples, is proposed.

Seokhee Jin, C. Sung, Sunung Mun et al. · 0 citations