{"total":92,"rows":[{"id":"2412.05271","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","created":"2024-12-06","cited_by_count":1599,"area":"lr"},{"id":"2110.00061","title":"PubTables-1M: Towards comprehensive table extraction from unstructured documents","created":"2021-09-30","cited_by_count":126,"area":null},{"id":"2108.04539","title":"BROS: A Pre-trained Language Model Focusing on Text and Layout for Better Key Information Extraction from Documents","created":"2021-08-10","cited_by_count":104,"area":null},{"id":"2203.01017","title":"TableFormer: Table Structure Understanding with Transformers","created":"2022-03-02","cited_by_count":94,"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":"2105.06224","title":"LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment","created":"2021-05-13","cited_by_count":46,"area":null},{"id":"2310.16809","title":"Exploring OCR Capabilities of GPT-4V(ision) : A Quantitative and In-depth Evaluation","created":"2023-10-25","cited_by_count":46,"area":null},{"id":"2410.21169","title":"Document Parsing Unveiled: Techniques, Challenges, and Prospects for Structured Information Extraction","created":"2024-10-28","cited_by_count":44,"area":"rag"},{"id":"2109.02199","title":"Parsing Table Structures in the Wild","created":"2021-09-06","cited_by_count":43,"area":null},{"id":"2107.05214","title":"Split, embed and merge: An accurate table structure recognizer","created":"2021-07-12","cited_by_count":42,"area":null},{"id":"2201.09745","title":"Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks","created":"2022-01-24","cited_by_count":42,"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":"2111.13359","title":"Neural Collaborative Graph Machines for Table Structure Recognition","created":"2021-11-26","cited_by_count":30,"area":null},{"id":"2203.09056","title":"Robust Table Detection and Structure Recognition from Heterogeneous Document Images","created":"2022-03-17","cited_by_count":30,"area":null},{"id":"2106.10598","title":"TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition","created":"2021-06-20","cited_by_count":27,"area":null},{"id":"2208.04921","title":"TSRFormer: Table Structure Recognition with Transformers","created":"2022-08-09","cited_by_count":27,"area":null},{"id":"2412.09613","title":"PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models","created":"2024-12-12","cited_by_count":25,"area":"mllm"},{"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":"2502.16161","title":"OmniParser V2: Structured-Points-of-Thought for Unified Visual Text Parsing and Its Generality to Multimodal Large Language Models","created":"2025-02-22","cited_by_count":23,"area":"lr"},{"id":"2208.14687","title":"TRUST: An Accurate and End-to-End Table structure Recognizer Using Splitting-based Transformers","created":"2022-08-31","cited_by_count":19,"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":"2104.14272","title":"Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks","created":"2021-04-29","cited_by_count":18,"area":null},{"id":"2111.07129","title":"Visual Understanding of Complex Table Structures from Document Images","created":"2021-11-13","cited_by_count":17,"area":null},{"id":"2104.10538","title":"Guided Table Structure Recognition through Anchor Optimization","created":"2021-04-21","cited_by_count":15,"area":null},{"id":"2105.06400","title":"TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables","created":"2021-05-12","cited_by_count":15,"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":"2309.14962","title":"GridFormer: Towards Accurate Table Structure Recognition via Grid Prediction","created":"2023-09-26","cited_by_count":13,"area":null},{"id":"2506.11375","title":"Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables","created":"2025-06-13","cited_by_count":13,"area":"mllm"},{"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":"2403.16516","title":"Visually Guided Generative Text-Layout Pre-training for Document Intelligence","created":"2024-03-25","cited_by_count":12,"area":null},{"id":"2205.02411","title":"Relational Representation Learning in Visually-Rich Documents","created":"2022-05-05","cited_by_count":11,"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":"2412.16158","title":"HoVLE: Unleashing the Power of Monolithic Vision-Language Models with Holistic Vision-Language Embedding","created":"2024-12-20","cited_by_count":10,"area":"mllm"},{"id":"2412.20662","title":"Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner","created":"2024-12-30","cited_by_count":9,"area":"lr"},{"id":"2509.17589","title":"Table2LaTeX-RL: High-Fidelity LaTeX Code Generation from Table Images via Reinforced Multimodal Language Models","created":"2025-09-22","cited_by_count":9,"area":"mllm"},{"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":"2210.17246","title":"Tables to LaTeX: structure and content extraction from scientific tables","created":"2022-10-31","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":"2203.03819","title":"Table Structure Recognition with Conditional Attention","created":"2022-03-08","cited_by_count":6,"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":"2305.00630","title":"TRACE: Table Reconstruction Aligned to Corner and Edges","created":"2023-05-01","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":"2509.18776","title":"AECBench: A Hierarchical Benchmark for Knowledge Evaluation of Large Language Models in the AEC Field","created":"2025-09-23","cited_by_count":6,"area":null},{"id":"2412.04262","title":"SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction","created":"2024-12-05","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":"2506.06279","title":"CoMemo: LVLMs Need Image Context with Image Memory","created":"2025-06-06","cited_by_count":4,"area":"mllm"},{"id":"2510.11496","title":"AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model","created":"2025-10-13","cited_by_count":4,"area":"mllm"},{"id":"2601.12318","title":"Beyond Human Annotation: Recent Advances in Data Generation Methods for Document Intelligence","created":"2026-01-18","cited_by_count":4,"area":null},{"id":"2203.06873","title":"TSR-DSAW: Table Structure Recognition via Deep Spatial Association of Words","created":"2022-03-14","cited_by_count":3,"area":null},{"id":"2302.01451","title":"CTE: A Dataset for Contextualized Table Extraction","created":"2023-02-02","cited_by_count":3,"area":null},{"id":"2306.05749","title":"DocAligner: Annotating Real-world Photographic Document Images by Simply Taking Pictures","created":"2023-06-09","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":"2407.02842","title":"MindBench: A Comprehensive Benchmark for Mind Map Structure Recognition and Analysis","created":"2024-07-03","cited_by_count":3,"area":"mllm"},{"id":"2502.14918","title":"RAPTOR: Refined Approach for Product Table Object Recognition","created":"2025-02-19","cited_by_count":3,"area":null},{"id":"2505.05446","title":"Adaptive Markup Language Generation for Contextually-Grounded Visual Document Understanding","created":"2025-05-08","cited_by_count":3,"area":null},{"id":"2201.01654","title":"TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets","created":"2022-01-05","cited_by_count":2,"area":null},{"id":"2208.06031","title":"Handling big tabular data of ICT supply chains: a multi-task, machine-interpretable approach","created":"2022-08-11","cited_by_count":2,"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":"2304.11810","title":"PARAGRAPH2GRAPH: A GNN-based framework for layout paragraph analysis","created":"2023-04-24","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":"2507.05805","title":"DREAM: Document Reconstruction via End-to-end Autoregressive Model","created":"2025-07-08","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":"2302.08948","title":"Entry Separation using a Mixed Visual and Textual Language Model: Application to 19th century French Trade Directories","created":"2023-02-17","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":"2409.05125","title":"PdfTable: A Unified Toolkit for Deep Learning-Based Table Extraction","created":"2024-09-08","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":"2504.20682","title":"OG-HFYOLO :Orientation gradient guidance and heterogeneous feature fusion for deformation table cell instance segmentation","created":"2025-04-29","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":"2508.05669","title":"Fine-Tuning Vision-Language Models for Markdown Conversion of Financial Tables in Malaysian Audited Financial Reports","created":"2025-08-04","cited_by_count":1,"area":"mllm"},{"id":"2604.00161","title":"Q-Mask: Query-driven Causal Masks for Text Anchoring in OCR-Oriented Vision-Language Models","created":"2026-03-31","cited_by_count":1,"area":"mllm"},{"id":"2605.22100","title":"MPDocBench-Parse: Benchmarking Practical Multi-page Document Parsing","created":"2026-05-21","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":"2402.05158","title":"Enhancement of Bengali OCR by Specialized Models and Advanced Techniques for Diverse Document Types","created":"2024-02-07","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":"2508.13404","title":"TASER: Table Agents for Schema-guided Extraction and Recommendation","created":"2025-08-18","cited_by_count":0,"area":null},{"id":"2511.05547","title":"Automated Invoice Data Extraction: Using LLM and OCR","created":"2025-11-01","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":"2511.18306","title":"Table Comprehension in Building Codes using Vision Language Models and Domain-Specific Fine-Tuning","created":"2025-11-23","cited_by_count":0,"area":null},{"id":"2603.12638","title":"Using a Human-AI Teaming Approach to Create and Curate Scientific Datasets with the SCILIRE System","created":"2026-03-13","cited_by_count":0,"area":null},{"id":"2603.26784","title":"HighlightBench: Benchmarking Markup-Driven Table Reasoning in Scientific Documents","created":"2026-03-25","cited_by_count":0,"area":"lr"},{"id":"2604.13041","title":"TableNet A Large-Scale Table Dataset with LLM-Powered Autonomous","created":"2026-02-27","cited_by_count":0,"area":"lr"},{"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":"2605.08222","title":"From Historical Tabular Image to Knowledge Graphs: A Provenance-Aware Modular Pipeline","created":"2026-05-06","cited_by_count":0,"area":null},{"id":"2605.13424","title":"LIFT: Last-Mile Fine-Tuning for Table Explicitation","created":"2026-05-13","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":"2606.18721","title":"Rethinking the Pointer Loss in Table Structure Recognition: Geometry-Aware Pointer Loss for Spatial Locality","created":"2026-06-17","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":"2610.20335","title":"Read, Parse, Describe: Unified Document Parsing with Visual Element Description Generation","created":"2026-10-14","cited_by_count":0,"area":null}],"next_cursor":null}