Arctic-TILT. Business Document Understanding at Sub-Billion Scale
The vast portion of workloads employing LLMs involves answering questions grounded on PDF or scan content. We introduce the Arctic-TILT achieving accuracy on par with models 1000$\times$ its size on these use cases. It can be fine-tuned and deployed on a single 24GB GPU, lowering operational costs while processing Visually Rich Documents with up to 400k tokens. The model establishes state-of-the-art results on seven diverse Document Understanding benchmarks, as well as provides reliable confidence scores and quick inference, which are essential for processing files in large-scale or time-sensitive enterprise environments.
Code (0)
등록된 구현이 없습니다.
Tasks
document understandingGPUSimilar Papers 제목 키워드 기반
Arctic-Extract Technical Report
Arctic-Extract is a state-of-the-art model designed for extracting structural data (question answering, entities and tables) from scanned or digital-born business documents. Despite its SoTA capabilities, the model is de…
Question AnsweringRadar Odometry Subject to High Tilt Dynamics of Subarctic Environments
Rotating FMCW radar odometry methods often assume flat ground conditions. While this assumption is sufficient in many scenarios, including urban environments or flat mining setups, the highly dynamic terrain of subarctic…
Radar odometryGoing Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer
We address the challenging problem of Natural Language Comprehension beyond plain-text documents by introducing the TILT neural network architecture which simultaneously learns layout information, visual features, and te…
DecoderDocument Image Classificationdocument understandingVisual Question Answering+1A Survey of Deep Learning Approaches for OCR and Document Understanding
Documents are a core part of many businesses in many fields such as law, finance, and technology among others. Automatic understanding of documents such as invoices, contracts, and resumes is lucrative, opening up many n…
document understandingOptical Character Recognition (OCR)Construction and Applications of Billion-Scale Pre-Trained Multimodal Business Knowledge Graph
Business Knowledge Graphs (KGs) are important to many enterprises today, providing factual knowledge and structured data that steer many products and make them more intelligent. Despite their promising benefits, building…
Knowledge Graphs