Yi-Nan Xia

Unified OCR foundation models achieve state-of-the-art visual intelligence by integrating recognition, parsing, and reasoning through instruction-following and a novel competence-guided policy optimization.

LRMs can be made more efficient and accurate by strategically adjusting their output length based on task difficulty, leading to a better accuracy-length trade-off.