Lilt Document QA
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Lilt Document QA
Developed by TusharGoel
LiLT is a pre-trained model for Document Visual Question Answering (DocVQA) tasks, specifically designed for handling question-answering tasks in English documents.
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Release Time : 10/15/2023
Model Overview
The LiLT model combines text and layout information to understand document structures and answer related questions, making it particularly suitable for QA scenarios involving structured documents like forms and invoices.
Model Features
Multimodal Understanding
Processes both textual content and document layout information to enhance understanding of structured documents.
Document Structure Awareness
Captures spatial relationships between document elements through bounding box information.
English Document Optimization
Fine-tuned specifically for English document QA tasks.
Model Capabilities
Document QA
Structured Information Extraction
Form Understanding
Use Cases
Document Processing
Form Information Extraction
Extract specific field information from structured forms.
Accurately identifies key information in forms such as license numbers and dates.
Invoice Processing
Answer specific questions about invoice content.
Locates information such as amounts and suppliers in invoices.
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