3 articles about OCR
Research shows Direct Preference Optimization can fix text degeneration in OCR models, cutting repetition-loop failures by an average 59.4 percent across five model families after fine-tuning.
Dharma-AI research shows a specialized 3-billion-parameter model beat all commercial frontier APIs on structured OCR, scoring 0.911 versus 0.833 for Claude Opus 4.6 at about 52x lower cost.
PaddleOCR 3.5 adds Hugging Face Transformers as a document parsing inference backend, letting PP-OCRv5 and PaddleOCR-VL 1.5 models run wherever the engine parameter is set.