New LMM 'PreciseDoc' Enhances Document Element Grounding Accuracy

Researchers have developed PreciseDoc, a new Large Multimodal Model (LMM) designed to improve the accuracy of grounding specific elements within documents. Existing models struggle with precise localization in text-heavy document images, hindering reliable reasoning. PreciseDoc addresses this by using specially constructed training data, including synthetic documents with fine-grained coordinate metadata, and employs a joint training paradigm for visual grounded reasoning with reinforcement learning. Evaluations show its superiority in document spatial grounding and understanding tasks. AI

IMPACT This model could significantly improve document analysis and information extraction for AI systems.

RANK_REASON The cluster contains a research paper detailing a new model and methodology. [lever_c_demoted from research: ic=1 ai=1.0]

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• arXiv
• Large Multimodal Models
• PreciseDoc

• paper
• model release

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