Document AI
1개 벤치마크 · 논문 59편 · 이 태스크의 논문 보기 →
Benchmarks
EPHOIE
Most implemented
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Unifying Vision, Text, and Layout for Universal Document Processing
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
DiT: Self-supervised Pre-training for Document Image Transformer
Papers
GDP.pdf: Benchmarking Grounded Multimodal Reasoning over Professional PDF Documents
A large share of day-to-day work in professional domains happens inside PDF files: benefits packets, leases, datasheets, clinical guidelines, construction plans. Benchmarks for document AI have generally measured the req…
Multimodal ReasoningSpatial ReasoningDocument AIMonkeyOCRv2: A Visual-Text Foundation Model for Document AI
Mainstream visual encoders are pretrained on natural images and cannot be effectively applied to document images without document-oriented adaptation, as dense text and fine-grained character strokes demand character-lev…
Text GenerationText DetectionDocument AICross-Temporal Sinhala OCR: Page-Level Adaptation and Diachronic Analysis
Sinhala is a morphologically rich abugida spoken by roughly 16 million people in Sri Lanka, and to date, there are no publicly available real-world datasets for page-level Sinhala OCR. All previous studies for assessing …
Document AIOperationalizing Document AI: A Microservice Architecture for OCR and LLM Pipelines in Production
Academic research tends to focus on new models for document understanding creating a wide gap in the literature between model definition and running models at production scale. To close that gap, we present a microservic…
Document AIAutomated Population-Level Audit Assurance via AI-Based Document Intelligence
Audit transaction testing validates accuracy and completeness of customer-facing statements against internal systems of record. Traditional manual, sample-based review of unstructured PDF statements is labor-intensive an…
Document AIBenchmarking Complex Multimodal Document Processing Pipelines: A Unified Evaluation Framework for Enterprise AI
Most enterprise document AI today is a pipeline. Parse, index, retrieve, generate. Each of those stages has been studied to death on its own -- what's still hard is evaluating the system as a whole. We built EnterpriseDo…
Document AI