Internalized Reasoning for Long-Context Visual Document Understanding
📰 ArXiv cs.AI
Internalized reasoning improves long-context visual document understanding by generating thinking traces and scoring page relevance
Action Steps
- Generate synthetic data pipeline for reasoning in long-document understanding
- Score each page for question relevance
- Extract textual evidence and order it from most to least relevant
- Use thinking traces to improve model performance
Who Needs to Know This
AI engineers and researchers working on document understanding and visual question answering tasks can benefit from this approach to improve model performance
Key Insight
💡 Internalized reasoning can drive significant improvements in document understanding tasks
Share This
💡 Internalized reasoning boosts long-context visual doc understanding
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