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cs.LG2025
A Unified Multi-Agent Framework for Universal Multimodal Understanding and Generation
Jiulin Li, Ping Huang, Yexin Li +3
Real-world multimodal applications often require any-to-any capabilities, enabling both understanding and generation across modalities including text, image, audio, and video. Howe…
cs.LG2024
RankUp: Boosting Semi-Supervised Regression with an Auxiliary Ranking Classifier
Pin-Yen Huang, Szu-Wei Fu, Yu Tsao
State-of-the-art (SOTA) semi-supervised learning techniques, such as FixMatch and it's variants, have demonstrated impressive performance in classification tasks. However, these me…