Third-party cyber evaluations involving OpenAI models
openai.com·13h ago
AI Research
arXiv CS.AI·May 28·5 min read
Reading or Guessing? Visual Grounding Failures of Vision-Language Models for OCR in Ancient Greek Editions
TL;DR
Vision-language models struggle with visual grounding, which is the ability to connect text with corresponding images, particularly in ancient Greek texts. The study evaluated the performance of these models using Optical Character Recognition (OCR) techniques on ancient Greek editions.
✦ Why It Matters
Engineers and researchers can focus on improving OCR techniques for specialized languages to enhance model accuracy.
Key Takeaways
- Evaluate the visual grounding of your OCR systems.
- Consider using traditional OCR for low-resource languages.
- Implement post-OCR corrections to enhance output accuracy.
- Analyze model-specific reliance on visual input.
How It Works
The study employs controlled image perturbations to assess how VLMs respond to visual changes during OCR tasks. By comparing outputs from VLMs and traditional OCR systems, the researchers identify the extent to which each model relies on visual evidence versus language patterns.