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Collections including paper arxiv:2404.00488 
						
					
				- 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
Paper • 2305.02549 • Published • 6 - 
	
	
	
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Paper • 2203.08411 • Published • 1 - 
	
	
	
ETC: Encoding Long and Structured Inputs in Transformers
Paper • 2004.08483 • Published • 1 
- 
	
	
	
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
Paper • 2403.15246 • Published • 11 - 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
SnapKV: LLM Knows What You are Looking for Before Generation
Paper • 2404.14469 • Published • 27 
- 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Paper • 2203.08411 • Published • 1 - 
	
	
	
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
Paper • 2305.02549 • Published • 6 - 
	
	
	
ETC: Encoding Long and Structured Inputs in Transformers
Paper • 2004.08483 • Published • 1 
- 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
Paper • 2204.08387 • Published • 5 - 
	
	
	
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Paper • 2012.14740 • Published • 2 - 
	
	
	
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Paper • 1912.13318 • Published • 4 
- 
	
	
	
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
Paper • 2403.15246 • Published • 11 - 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
Text Role Classification in Scientific Charts Using Multimodal Transformers
Paper • 2402.14579 • Published • 1 
- 
	
	
	
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 - 
	
	
	
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 - 
	
	
	
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2 - 
	
	
	
RTSeg: Real-time Semantic Segmentation Comparative Study
Paper • 1803.02758 • Published • 2 
- 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Paper • 2203.08411 • Published • 1 - 
	
	
	
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
Paper • 2305.02549 • Published • 6 - 
	
	
	
ETC: Encoding Long and Structured Inputs in Transformers
Paper • 2004.08483 • Published • 1 
- 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
FormNetV2: Multimodal Graph Contrastive Learning for Form Document Information Extraction
Paper • 2305.02549 • Published • 6 - 
	
	
	
FormNet: Structural Encoding beyond Sequential Modeling in Form Document Information Extraction
Paper • 2203.08411 • Published • 1 - 
	
	
	
ETC: Encoding Long and Structured Inputs in Transformers
Paper • 2004.08483 • Published • 1 
- 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking
Paper • 2204.08387 • Published • 5 - 
	
	
	
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding
Paper • 2012.14740 • Published • 2 - 
	
	
	
LayoutLM: Pre-training of Text and Layout for Document Image Understanding
Paper • 1912.13318 • Published • 4 
- 
	
	
	
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
Paper • 2403.15246 • Published • 11 - 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
Text Role Classification in Scientific Charts Using Multimodal Transformers
Paper • 2402.14579 • Published • 1 
- 
	
	
	
FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
Paper • 2403.15246 • Published • 11 - 
	
	
	
Noise-Aware Training of Layout-Aware Language Models
Paper • 2404.00488 • Published • 10 - 
	
	
	
SnapKV: LLM Knows What You are Looking for Before Generation
Paper • 2404.14469 • Published • 27 
- 
	
	
	
Image Segmentation using U-Net Architecture for Powder X-ray Diffraction Images
Paper • 2310.16186 • Published • 2 - 
	
	
	
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT Volumes
Paper • 1709.07330 • Published • 2 - 
	
	
	
Deep LOGISMOS: Deep Learning Graph-based 3D Segmentation of Pancreatic Tumors on CT scans
Paper • 1801.08599 • Published • 2 - 
	
	
	
RTSeg: Real-time Semantic Segmentation Comparative Study
Paper • 1803.02758 • Published • 2