{"total":102,"rows":[{"id":"2305.08455","title":"Document Understanding Dataset and Evaluation (DUDE)","created":"2023-05-15","cited_by_count":135,"area":null},{"id":"2207.11871","title":"Towards Complex Document Understanding By Discrete Reasoning","created":"2022-07-25","cited_by_count":82,"area":null},{"id":"2505.14059","title":"Dolphin: Document Image Parsing via Heterogeneous Anchor Prompting","created":"2025-05-20","cited_by_count":79,"area":null},{"id":"2406.01326","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","created":"2024-06-03","cited_by_count":71,"area":null},{"id":"2302.05658","title":"DocILE Benchmark for Document Information Localization and Extraction","created":"2023-02-11","cited_by_count":58,"area":null},{"id":"2303.06949","title":"Improving Table Structure Recognition with Visual-Alignment Sequential Coordinate Modeling","created":"2023-03-13","cited_by_count":41,"area":null},{"id":"2305.03393","title":"Optimized Table Tokenization for Table Structure Recognition","created":"2023-05-05","cited_by_count":34,"area":null},{"id":"2203.12555","title":"GriTS: Grid table similarity metric for table structure recognition","created":"2022-03-23","cited_by_count":28,"area":null},{"id":"2303.14884","title":"A large-scale dataset for end-to-end table recognition in the wild","created":"2023-03-27","cited_by_count":24,"area":null},{"id":"2502.09927","title":"Granite Vision: a lightweight, open-source multimodal model for enterprise Intelligence","created":"2025-02-14","cited_by_count":20,"area":null},{"id":"2303.03730","title":"LORE: Logical Location Regression Network for Table Structure Recognition","created":"2023-03-07","cited_by_count":19,"area":null},{"id":"2208.11168","title":"Doc2Graph: a Task Agnostic Document Understanding Framework based on Graph Neural Networks","created":"2022-08-23","cited_by_count":17,"area":null},{"id":"2511.03929","title":"NVIDIA Nemotron Nano V2 VL","created":"2025-11-06","cited_by_count":17,"area":null},{"id":"2211.08469","title":"Deep learning for table detection and structure recognition: A survey","created":"2022-11-15","cited_by_count":15,"area":null},{"id":"2303.00716","title":"Aligning benchmark datasets for table structure recognition","created":"2023-03-01","cited_by_count":15,"area":null},{"id":"2409.05137","title":"READoc: A Unified Benchmark for Realistic Document Structured Extraction","created":"2024-09-08","cited_by_count":15,"area":null},{"id":"2403.04822","title":"UniTable: Towards a Unified Framework for Table Recognition via Self-Supervised Pretraining","created":"2024-03-07","cited_by_count":13,"area":null},{"id":"2303.04384","title":"SEMv2: Table Separation Line Detection Based on Instance Segmentation","created":"2023-03-08","cited_by_count":12,"area":null},{"id":"2303.11615","title":"Robust Table Structure Recognition with Dynamic Queries Enhanced Detection Transformer","created":"2023-03-21","cited_by_count":12,"area":null},{"id":"2406.10382","title":"Efficient Prompting for LLM-based Generative Internet of Things","created":"2024-06-14","cited_by_count":12,"area":null},{"id":"2409.13148","title":"UniTabNet: Bridging Vision and Language Models for Enhanced Table Structure Recognition","created":"2024-09-20","cited_by_count":11,"area":null},{"id":"2303.07641","title":"Rethinking Image-based Table Recognition Using Weakly Supervised Methods","created":"2023-03-14","cited_by_count":10,"area":null},{"id":"2505.17330","title":"FS-DAG: Few Shot Domain Adapting Graph Networks for Visually Rich Document Understanding","created":"2025-05-22","cited_by_count":10,"area":null},{"id":"2403.19454","title":"JDocQA: Japanese Document Question Answering Dataset for Generative Language Models","created":"2024-03-28","cited_by_count":9,"area":null},{"id":"2401.01522","title":"LORE++: Logical Location Regression Network for Table Structure Recognition with Pre-training","created":"2024-01-03","cited_by_count":8,"area":null},{"id":"2508.21085","title":"Granite Embedding R2 Models","created":"2025-08-26","cited_by_count":8,"area":null},{"id":"2305.02769","title":"Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer","created":"2023-05-04","cited_by_count":7,"area":null},{"id":"2306.13526","title":"Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images","created":"2023-06-23","cited_by_count":7,"area":null},{"id":"2310.09118","title":"DSG: An End-to-End Document Structure Generator","created":"2023-10-13","cited_by_count":7,"area":null},{"id":"2405.11862","title":"SEMv3: A Fast and Robust Approach to Table Separation Line Detection","created":"2024-05-20","cited_by_count":7,"area":null},{"id":"2303.09174","title":"Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation","created":"2023-03-16","cited_by_count":6,"area":null},{"id":"2305.19181","title":"Table Detection for Visually Rich Document Images","created":"2023-05-30","cited_by_count":6,"area":null},{"id":"2404.17888","title":"A Hybrid Approach for Document Layout Analysis in Document images","created":"2024-04-27","cited_by_count":6,"area":null},{"id":"2503.11932","title":"SPRINT: Script-agnostic Structure Recognition in Tables","created":"2025-03-15","cited_by_count":6,"area":null},{"id":"2405.00187","title":"Towards End-to-End Semi-Supervised Table Detection with Semantic Aligned Matching Transformer","created":"2024-04-30","cited_by_count":5,"area":null},{"id":"2509.19345","title":"SCORE: A Semantic Evaluation Framework for Generative Document Parsing","created":"2025-09-16","cited_by_count":5,"area":null},{"id":"2404.18706","title":"The Socface Project: Large-Scale Collection, Processing, and Analysis of a Century of French Censuses","created":"2024-04-29","cited_by_count":4,"area":null},{"id":"2405.04971","title":"End-to-End Semi-Supervised approach with Modulated Object Queries for Table Detection in Documents","created":"2024-05-08","cited_by_count":4,"area":null},{"id":"2504.04085","title":"DocSAM: Unified Document Image Segmentation via Query Decomposition and Heterogeneous Mixed Learning","created":"2025-04-05","cited_by_count":4,"area":null},{"id":"2605.07492","title":"How Far Is Document Parsing from Solved? PureDocBench: A Source-Traceable Benchmark across Clean, Degraded, and Real-World Settings","created":"2026-05-08","cited_by_count":4,"area":null},{"id":"2305.04833","title":"Revisiting Table Detection Datasets for Visually Rich Documents","created":"2023-05-04","cited_by_count":3,"area":null},{"id":"2402.07502","title":"ClusterTabNet: Supervised clustering method for table detection and table structure recognition","created":"2024-02-12","cited_by_count":3,"area":null},{"id":"2407.01558","title":"Visual Grounding Methods for Efficient Interaction with Desktop Graphical User Interfaces","created":"2024-05-05","cited_by_count":3,"area":null},{"id":"2409.19573","title":"See then Tell: Enhancing Key Information Extraction with Vision Grounding","created":"2024-09-29","cited_by_count":3,"area":null},{"id":"2502.14918","title":"RAPTOR: Refined Approach for Product Table Object Recognition","created":"2025-02-19","cited_by_count":3,"area":null},{"id":"2607.13347","title":"LLM-as-a-Judge Scores Are Unreliable Optimization Signals in Closed-Loop Table Recognition","created":"2026-07-15","cited_by_count":3,"area":null},{"id":"2211.02128","title":"Efficient Information Sharing in ICT Supply Chain Social Network via Table Structure Recognition","created":"2022-11-03","cited_by_count":2,"area":null},{"id":"2404.11100","title":"Synthesizing Realistic Data for Table Recognition","created":"2024-04-17","cited_by_count":2,"area":null},{"id":"2506.14568","title":"QUEST: Quality-aware Semi-supervised Table Extraction for Business Documents","created":"2025-06-17","cited_by_count":2,"area":null},{"id":"2512.10888","title":"PubTables-v2: A new large-scale dataset for full-page and multi-page table extraction","created":"2025-12-11","cited_by_count":2,"area":null},{"id":"2603.11044","title":"LingDT-VL-OCR: Structure-Aware Document-Level Parsing with Fine-Grained Visual Reference","created":"2026-03-11","cited_by_count":2,"area":null},{"id":"2603.18652","title":"Beyond String Matching: Semantic Evaluation of PDF Table Extraction","created":"2026-03-19","cited_by_count":2,"area":null},{"id":"2305.17401","title":"A Framework For Refining Text Classification and Object Recognition from Academic Articles","created":"2023-05-27","cited_by_count":1,"area":null},{"id":"2306.07968","title":"arXiVeri: Automatic table verification with GPT","created":"2023-06-13","cited_by_count":1,"area":null},{"id":"2309.17033","title":"Unveiling Document Structures with YOLOv5 Layout Detection","created":"2023-09-29","cited_by_count":1,"area":null},{"id":"2312.00699","title":"Rethinking Detection Based Table Structure Recognition for Visually Rich Document Images","created":"2023-12-01","cited_by_count":1,"area":null},{"id":"2312.09038","title":"Object Recognition from Scientific Document based on Compartment Refinement Framework","created":"2023-12-14","cited_by_count":1,"area":null},{"id":"2408.09434","title":"HySem: A context length optimized LLM pipeline for unstructured tabular extraction","created":"2024-08-18","cited_by_count":1,"area":null},{"id":"2409.05125","title":"PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction","created":"2024-09-08","cited_by_count":1,"area":null},{"id":"2503.22526","title":"AnnoPage Dataset: Dataset of Non-Textual Elements in Documents with Fine-Grained Categorization","created":"2025-03-28","cited_by_count":1,"area":null},{"id":"2504.08645","title":"Title block detection and information extraction for enhanced building drawings search","created":"2025-04-11","cited_by_count":1,"area":null},{"id":"2504.17522","title":"TableCenterNet: A one-stage network for table structure recognition","created":"2025-04-24","cited_by_count":1,"area":null},{"id":"2507.08865","title":"Spatial ModernBERT: Spatial-Aware Transformer for Table and Key-Value Extraction in Financial Documents at Scale","created":"2025-07-09","cited_by_count":1,"area":null},{"id":"2511.20478","title":"NVIDIA Nemotron Parse 1.1","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2602.00052","title":"AI-assisted Protocol Information Extraction For Improved Accuracy and Efficiency in Clinical Trial Workflows","created":"2026-01-19","cited_by_count":1,"area":null},{"id":"2602.12203","title":"ExStrucTiny: A Benchmark for Schema-Variable Structured Information Extraction from Document Images","created":"2026-02-12","cited_by_count":1,"area":null},{"id":"2603.22819","title":"TDATR: Improving End-to-End Table Recognition via Table Detail-Aware Learning and Cell-Level Visual Alignment","created":"2026-03-24","cited_by_count":1,"area":null},{"id":"2604.02880","title":"InstructTable: Improving Table Structure Recognition Through Instructions","created":"2026-04-03","cited_by_count":1,"area":null},{"id":"2606.21005","title":"Building Agent Harnesses for Scientific Curation from Multimodal Sources","created":"2026-06-19","cited_by_count":1,"area":null},{"id":"2609.32041","title":"Amnesia by Design, Memory By Necessity: Persistent State for Document Intelligence","created":"2026-09-25","cited_by_count":1,"area":null},{"id":"2208.11210","title":"Data augmentation on graphs for table type classification","created":"2022-08-23","cited_by_count":0,"area":null},{"id":"2312.11043","title":"TDeLTA: A Light-weight and Robust Table Detection Method based on Learning Text Arrangement","created":"2023-12-18","cited_by_count":0,"area":null},{"id":"2501.15469","title":"CISOL: An Open and Extensible Dataset for Table Structure Recognition in the Construction Industry","created":"2025-01-26","cited_by_count":0,"area":null},{"id":"2506.14583","title":"Synthetic Data Augmentation for Table Detection: Re-evaluating TableNet's Performance with Automatically Generated Document Images","created":"2025-06-17","cited_by_count":0,"area":null},{"id":"2506.21920","title":"SepFormer: Coarse-to-fine Separator Regression Network for Table Structure Recognition","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2508.10311","title":"From Surface to Semantics: Semantic Structure Parsing for Table-Centric Document Analysis","created":"2025-08-14","cited_by_count":0,"area":null},{"id":"2508.13404","title":"TASER: Table Agents for Schema-guided Extraction and Recommendation","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2508.16295","title":"Edge-Native Digitization of Handwritten Marksheets: A Hybrid Heuristic-Deep Learning Framework","created":"2025-08-22","cited_by_count":0,"area":null},{"id":"2511.08298","title":"Hierarchical structure understanding in complex tables with VLLMs: a benchmark and experiments","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2512.21287","title":"Post-Processing Mask-Based Table Segmentation for Structural Coordinate Extraction","created":"2025-12-24","cited_by_count":0,"area":null},{"id":"2601.11425","title":"PubMed-OCR: PMC Open Access OCR Annotations","created":"2026-01-16","cited_by_count":0,"area":null},{"id":"2602.13345","title":"BLUEPRINT Rebuilding a Legacy: Multimodal Retrieval for Complex Engineering Drawings and Documents","created":"2026-02-12","cited_by_count":0,"area":null},{"id":"2603.17425","title":"Proactive Knowledge Inquiry in Doctor-Patient Dialogue: Stateful Extraction, Belief Updating, and Path-Aware Action Planning","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2604.11970","title":"INDOTABVQA: A Benchmark for Cross-Lingual Table Understanding in Bahasa Indonesia Documents","created":"2026-04-13","cited_by_count":0,"area":null},{"id":"2604.13059","title":"A Proactive EMR Assistant for Doctor-Patient Dialogue: Streaming ASR, Belief Stabilization, and Preliminary Controlled Evaluation","created":"2026-03-18","cited_by_count":0,"area":null},{"id":"2604.16070","title":"TableSeq: Unified Generation of Structure, Content, and Layout","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2604.16099","title":"DenTab: A Dataset for Table Recognition and Visual QA on Real-World Dental Estimates","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2605.22422","title":"FastTab: A Fast Table Recognizer with a Tiny Recursive Module and 1D Transformers","created":"2026-05-21","cited_by_count":0,"area":null},{"id":"2606.09788","title":"POTATR: A Lightweight Image-to-Graph Model for Page-Level Table Extraction","created":"2026-06-08","cited_by_count":0,"area":null},{"id":"2607.00734","title":"ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2607.00747","title":"Active Learning for Cascaded Object Detection: Balancing Coverage and Uncertainty in Table Extraction Pipelines","created":"2026-07-01","cited_by_count":0,"area":null},{"id":"2608.09842","title":"From Diagnosis to Correction: Benchmarking and Improving Real-World Table Parsing","created":"2026-08-10","cited_by_count":0,"area":null},{"id":"2608.10396","title":"FormStruct-Bench:A Hierarchical and Diagnostic Benchmark for Table-Form Document Structure Recognition","created":"2026-08-11","cited_by_count":0,"area":null},{"id":"2608.22817","title":"Industrial-Instruction: An End-to-End Framework for Building Instruction-Tuning and Benchmark Datasets from Industrial Technical Reports","created":"2026-08-24","cited_by_count":0,"area":null},{"id":"2609.08330","title":"EMBLEM: Enhancing Multi-script Table Detection through Masking","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.08705","title":"Enhancing Table Structure Recognition via Bounding Box Guidance","created":"2026-09-08","cited_by_count":0,"area":null},{"id":"2609.17458","title":"Tables Decoded: DELTA for Structure, TARQA for Understanding","created":"2026-09-15","cited_by_count":0,"area":null},{"id":"2609.21351","title":"PrismAlign: Prior-Steered Multi-View VLM Alignment for Hallucination-Robust Table OCR","created":"2026-09-18","cited_by_count":0,"area":null},{"id":"2609.37016","title":"Back2Struct: Making Structured Images Editable Again","created":"2026-09-29","cited_by_count":0,"area":null},{"id":"2609.37712","title":"PolyOCR-Venus: Unified OCR Foundation Models for Text-Centric Visual Intelligence","created":"2026-09-29","cited_by_count":0,"area":null}],"next_cursor":"100"}