Yubo Zhang

A novel soft contrastive alignment loss enables significant improvements in cross-modal representation transfer, achieving up to 78.69% accuracy in challenging unseen scenarios.

I-SDPO boosts policy optimization accuracy by over 13% by intelligently adapting self-distillation based on instance success rates.

Achieving real-time document layout analysis at 132.1 FPS, RT-DocLayout unifies multiple tasks into a single model, drastically improving robustness against geometric distortions.

PP-OCRv6 outperforms billion-scale VLMs on OCR tasks with a fraction of the parameters, achieving state-of-the-art accuracy and speed.

Targeted optimization in underperforming regions boosts document parsing accuracy to a record 96.33%, setting a new benchmark in the field.