OCRVerse: Holistic OCR for Vision-Language Models скачать в хорошем качестве

OCRVerse: Holistic OCR for Vision-Language Models

In this AI Research Roundup episode, Alex discusses the paper: 'OCRVerse: Towards Holistic OCR in End-to-End Vision-Language Models' OCRVerse introduces a unified framework to bridge text-centric and vision-centric Optical Character Recognition within a lightweight 4B-parameter model. Unlike traditional methods, it excels at interpreting complex sources like scientific plots, circuits, and molecules by generating code-level outputs such as LaTeX and HTML. The researchers developed a massive data pipeline covering fifteen specialized domains to ensure the model understands both logical relationships and structural layouts. Training involved a novel two-stage process combining Supervised Fine-Tuning with Group Relative Policy Optimization to resolve domain conflicts and optimize specialized performance. Paper URL: https://arxiv.org/abs/2601.21639 #AI #MachineLearning #DeepLearning #OCR #VisionLanguageModels #VLM #ComputerVision #Qwen3 Resources: GitHub: https://github.com/DocTron-hub/OCRVerse