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Key-value Pair Extraction
Key Value Pair Extraction On Rfund En
Key Value Pair Extraction On Rfund En
Metrics
key-value pair F1
Results
Performance results of various models on this benchmark
Columns
Model Name
key-value pair F1
Paper Title
PEneo (LayoutLMv3_base)
79.27
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
PEneo (LiLT[InfoXLM]_base)
74.29
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
PEneo (LayoutXLM_base)
74.25
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
PEneo (LiLT[EN-R]_base)
74.22
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
PEneo (LayoutLMv2_base)
71.97
PEneo: Unifying Line Extraction, Line Grouping, and Entity Linking for End-to-end Document Pair Extraction
GeoLayoutLM
69.03
GeoLayoutLM: Geometric Pre-training for Visual Information Extraction
LayoutLMv3
57.66
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
LiLT ([EN-R]_base)
54.33
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding
LayoutXLM_base
53.98
LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding
LiLT ([InfoXLM]_base)
52.18
LiLT: A Simple yet Effective Language-Independent Layout Transformer for Structured Document Understanding
TPP (LayoutLMv3_base)
50.27
Reading Order Matters: Information Extraction from Visually-rich Documents by Token Path Prediction
LayoutLMv2_base
49.06
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Donut
24.54
OCR-free Document Understanding Transformer
0 of 13 row(s) selected.
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