Cover Image

Transformers and Language Models in Form Understanding: A Comprehensive Review of Scanned Document Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Abdallah, Abdelrahman, Eberharter, Daniel, Pfister, Zoe, Jatowt, Adam
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ReceiptSense: Beyond Traditional OCR -- A Dataset for Receipt Understanding
by: Abdallah, Abdelrahman, et al.
Published: (2024)

DocLens : A Tool-Augmented Multi-Agent Framework for Long Visual Document Understanding
by: Zhu, Dawei, et al.
Published: (2025)

SPORTU: A Comprehensive Sports Understanding Benchmark for Multimodal Large Language Models
by: Xia, Haotian, et al.
Published: (2024)

Generator-Retriever-Generator Approach for Open-Domain Question Answering
by: Abdallah, Abdelrahman, et al.
Published: (2023)

3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding
by: Ding, Yihao, et al.
Published: (2024)

LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding
by: Luo, Chuwei, et al.
Published: (2024)

A Comprehensive Analysis for Visual Object Hallucination in Large Vision-Language Models
by: Jing, Liqiang, et al.
Published: (2025)

Multimodal Large Language Models for Enhanced Traffic Safety: A Comprehensive Review and Future Trends
by: Tami, Mohammad Abu, et al.
Published: (2025)

DetectiumFire: A Comprehensive Multi-modal Dataset Bridging Vision and Language for Fire Understanding
by: Liu, Zixuan, et al.
Published: (2025)

The Role of Language Models in Modern Healthcare: A Comprehensive Review
by: Khalid, Amna, et al.
Published: (2024)

Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding
by: Xiao, Han, et al.
Published: (2025)

Docopilot: Improving Multimodal Models for Document-Level Understanding
by: Duan, Yuchen, et al.
Published: (2025)

Bi-VLDoc: Bidirectional Vision-Language Modeling for Visually-Rich Document Understanding
by: Luo, Chuwei, et al.
Published: (2022)

Understanding Alignment in Multimodal LLMs: A Comprehensive Study
by: Amirloo, Elmira, et al.
Published: (2024)

The Devil is in the EOS: Sequence Training for Detailed Image Captioning
by: Mohamed, Abdelrahman, et al.
Published: (2025)

Video Understanding with Large Language Models: A Survey
by: Tang, Yolo Y., et al.
Published: (2023)

Guess the Age of Photos: An Interactive Web Platform for Historical Image Age Estimation
by: Yucedag, Hasan, et al.
Published: (2025)

The Visual Iconicity Challenge: Evaluating Vision-Language Models on Sign Language Form-Meaning Mapping
by: Keleş, Onur, et al.
Published: (2025)

Mipha: A Comprehensive Overhaul of Multimodal Assistant with Small Language Models
by: Zhu, Minjie, et al.
Published: (2024)

Do Vision-Language Models Really Understand Visual Language?
by: Hou, Yifan, et al.
Published: (2024)

PUMGPT: A Large Vision-Language Model for Product Understanding
by: Xue, Wei, et al.
Published: (2023)

Vision-Language Models Do Not Understand Negation
by: Alhamoud, Kumail, et al.
Published: (2025)

A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models
by: Xiu, Lixin, et al.
Published: (2026)

In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding
by: Fan, Wan-Cyuan, et al.
Published: (2025)

QuST-LLM: Integrating Large Language Models for Comprehensive Spatial Transcriptomics Analysis
by: Huang, Chao Hui
Published: (2024)

A Review of Mechanistic Models of Event Comprehension
by: Nguyen, Tan T.
Published: (2024)

Studying and Mitigating Biases in Sign Language Understanding Models
by: Atwell, Katherine, et al.
Published: (2024)

Do Vision-Language Models Understand Compound Nouns?
by: Kumar, Sonal, et al.
Published: (2024)

Do Vision-Language Models Understand Visual Persuasiveness?
by: Park, Gyuwon
Published: (2025)

Do Multimodal Large Language Models Understand Welding?
by: Khvatskii, Grigorii, et al.
Published: (2025)

VideoARM: Agentic Reasoning over Hierarchical Memory for Long-Form Video Understanding
by: Yin, Yufei, et al.
Published: (2025)

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models
by: Kim, Sungnyun, et al.
Published: (2024)

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval
by: Abdallah, Abdelrahman, et al.
Published: (2025)

MME-SCI: A Comprehensive and Challenging Science Benchmark for Multimodal Large Language Models
by: Ruan, Jiacheng, et al.
Published: (2025)

Enhancing Large Vision Language Models with Self-Training on Image Comprehension
by: Deng, Yihe, et al.
Published: (2024)

Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR
by: Hennara, Khalil, et al.
Published: (2025)

HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions
by: Mozafari, Jamshid, et al.
Published: (2025)

Toward Interactive Regional Understanding in Vision-Large Language Models
by: Lee, Jungbeom, et al.
Published: (2024)

Can Large Vision-Language Models Understand Multimodal Sarcasm?
by: Wang, Xinyu, et al.
Published: (2025)

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
by: Li, Lei, et al.
Published: (2024)