L

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.
Downloads 80
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.
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase