✨VERSE: Visual Embedding Reduction and Space Exploration. Clustering-Guided Insights for Training Data Enhancement in Visually-Rich Document Understanding

📝 Summary:
VERSE analyzes Vision-Language Models by visualizing latent representations to find error-prone clusters. It guides synthetic data generation to boost performance in these areas. This significantly improves F1 scores, allowing on-premise models to match or exceed top SaaS solutions.

🔹 Publication Date: Published on Jan 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2601.05125
• PDF: https://arxiv.org/pdf/2601.05125
• Project Page: https://huggingface.co/spaces/de-Rodrigo/Embeddings
• Github: https://github.com/nachoDRT/VrDU-Doctor

==================================

For more data science resources:
✓ https://t.me/DataScienceT

#VisionLanguageModels #DeepLearning #EmbeddingVisualization #SyntheticData #DocumentUnderstanding