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Chenyi Huang

2 accepted papers

2026

Expand and Prune: Maximizing Trajectory Diversity for Effective GRPO in Generative Models

CVPR 2026

Group Relative Policy Optimization (GRPO) is a powerful technique for aligning generative models, but its effectiveness is bottlenecked by the conflict between large group sizes and prohibitive computational costs. In this work, we investigate the trade-off through empirical studies, yielding two ke

Cited by 0SourceScholar
2025

CalliReader: Contextualizing Chinese Calligraphy via an Embedding-Aligned Vision-Language Model

ICCV 2025poster

Chinese calligraphy, a UNESCO Heritage, remains computationally challenging due to visual ambiguity and cultural complexity. Existing AI systems fail to contextualize their intricate scripts, because of limited annotated data and poor visual-semantic alignment. We propose CalliReader, a vision-langu…