Classification-guided dynamic prompts improve zero-shot visual information extraction from 16 certificate types, reaching 86.43 F1 without LVLM fine-tuning on a private bidding dataset.
InInternational Conference on Document Analysis and Recognition
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Visual Information Extraction from Documents via Classification-Guided Large Vision-Language Models
Classification-guided dynamic prompts improve zero-shot visual information extraction from 16 certificate types, reaching 86.43 F1 without LVLM fine-tuning on a private bidding dataset.