DocVAL: Validated Chain-of-Thought Distillation for Grounded Document VQA
Published:Nov 27, 2025 15:00
•1 min read
•ArXiv
Analysis
This article introduces DocVAL, a method for improving performance in Grounded Document Visual Question Answering (VQA) by using validated Chain-of-Thought (CoT) distillation. The focus is on ensuring the reliability of the reasoning process used by large language models (LLMs) in answering questions about documents and associated visual information. The approach likely involves training a smaller model to mimic the CoT reasoning of a larger, more accurate model, with a validation step to ensure the distilled reasoning is sound. This is a significant area of research as it addresses the need for explainable and trustworthy AI in document understanding.
Key Takeaways
- •Focuses on improving the reliability of LLMs in Grounded Document VQA.
- •Employs Chain-of-Thought (CoT) distillation.
- •Includes a validation step to ensure the reasoning is sound.
- •Addresses the need for explainable and trustworthy AI in document understanding.
Reference
“The article likely discusses methods to improve the reliability and explainability of LLMs in document understanding tasks.”