From Retrieval to Recognition:How Vision--Language Models Become OCR Specialists
cs.CV
Submitted: 2026-09-18
Updated: 2026-09-18
Terminology
Sources
- Qwen3-VL Technical Report
- Nougat: Neural Optical Understanding for Academic Documents
- GLM-OCR Technical Report
- Can Retrieval Heads See Images? Multimodal Retrieval Heads in Long-Context Vision-Language Models
- Optimal ablation for interpretability
- In-context Learning and Induction Heads
- olmOCR: Unlocking Trillions of Tokens in PDFs with Vision Language Models
- Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching
- Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution
- General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model
- DeepSeek-OCR: Contexts Optical Compression
- Retrieval Head Mechanistically Explains Long-Context Factuality
- PaddleOCR-VL-1.6: Expanding the Frontier of Document Parsing with Under-Optimized Region Refinement and Progressive Post-Training
- Image-based table recognition: data, model, and evaluation
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