{"total":97,"rows":[{"id":"2403.05525","title":"DeepSeek-VL: Towards Real-World Vision-Language Understanding","created":"2024-03-08","cited_by_count":733,"area":null},{"id":"2311.05437","title":"LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents","created":"2023-11-09","cited_by_count":193,"area":"mllm"},{"id":"2403.04473","title":"TextMonkey: An OCR-Free Large Multimodal Model for Understanding Document","created":"2024-03-07","cited_by_count":174,"area":"mllm"},{"id":"2501.00321","title":"OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning","created":"2024-12-31","cited_by_count":173,"area":"mllm"},{"id":"2207.13080","title":"DETRs with Hybrid Matching","created":"2022-07-26","cited_by_count":150,"area":null},{"id":"2406.08394","title":"VisionLLM v2: An End-to-End Generalist Multimodal Large Language Model for Hundreds of Vision-Language Tasks","created":"2024-06-12","cited_by_count":137,"area":"mllm"},{"id":"2403.14610","title":"T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy","created":"2024-03-21","cited_by_count":94,"area":null},{"id":"2403.19128","title":"OmniParser: A Unified Framework for Text Spotting, Key Information Extraction and Table Recognition","created":"2024-03-28","cited_by_count":74,"area":null},{"id":"2510.12798","title":"Detect Anything via Next Point Prediction","created":"2025-10-14","cited_by_count":73,"area":null},{"id":"2402.16846","title":"GROUNDHOG: Grounding Large Language Models to Holistic Segmentation","created":"2024-02-26","cited_by_count":70,"area":"mllm"},{"id":"2307.09474","title":"ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning","created":"2023-07-18","cited_by_count":65,"area":"mllm"},{"id":"2505.14246","title":"Visual Agentic Reinforcement Fine-Tuning","created":"2025-05-20","cited_by_count":55,"area":"lr"},{"id":"2405.13870","title":"FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition","created":"2024-05-22","cited_by_count":49,"area":null},{"id":"2307.08723","title":"Revisiting Scene Text Recognition: A Data Perspective","created":"2023-07-17","cited_by_count":45,"area":null},{"id":"2302.14338","title":"Turning a CLIP Model into a Scene Text Detector","created":"2023-02-28","cited_by_count":44,"area":null},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2503.07465","title":"YOLOE: Real-Time Seeing Anything","created":"2025-03-10","cited_by_count":36,"area":null},{"id":"2603.27538","title":"LongCat-Next: Lexicalizing Modalities as Discrete Tokens","created":"2026-03-29","cited_by_count":36,"area":null},{"id":"2401.17904","title":"Hi-SAM: Marrying Segment Anything Model for Hierarchical Text Segmentation","created":"2024-01-31","cited_by_count":30,"area":null},{"id":"2411.18363","title":"ChatRex: Taming Multimodal LLM for Joint Perception and Understanding","created":"2024-11-27","cited_by_count":30,"area":"mllm"},{"id":"2304.03435","title":"Towards Unified Scene Text Spotting based on Sequence Generation","created":"2023-04-07","cited_by_count":27,"area":null},{"id":"2305.09750","title":"ICDAR 2023 Competition on Hierarchical Text Detection and Recognition","created":"2023-05-16","cited_by_count":23,"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":"2305.05095","title":"Less is More: Removing Text-regions Improves CLIP Training Efficiency and Robustness","created":"2023-05-08","cited_by_count":19,"area":null},{"id":"2502.18778","title":"M2-omni: Advancing Omni-MLLM for Comprehensive Modality Support with Competitive Performance","created":"2025-02-26","cited_by_count":19,"area":null},{"id":"2301.07464","title":"CLIPTER: Looking at the Bigger Picture in Scene Text Recognition","created":"2023-01-18","cited_by_count":16,"area":"mllm"},{"id":"2401.11874","title":"Detect-Order-Construct: A Tree Construction based Approach for Hierarchical Document Structure Analysis","created":"2024-01-22","cited_by_count":15,"area":null},{"id":"2405.06706","title":"Exploring the Capabilities of Large Multimodal Models on Dense Text","created":"2024-05-09","cited_by_count":14,"area":"mllm"},{"id":"2503.02304","title":"A Token-level Text Image Foundation Model for Document Understanding","created":"2025-03-04","cited_by_count":14,"area":"mllm"},{"id":"2403.14442","title":"RoDLA: Benchmarking the Robustness of Document Layout Analysis Models","created":"2024-03-21","cited_by_count":13,"area":null},{"id":"2512.21095","title":"UniRec-0.1B: Unified Text and Formula Recognition with 0.1B Parameters","created":"2025-12-24","cited_by_count":13,"area":null},{"id":"2308.07202","title":"Towards Robust Real-Time Scene Text Detection: From Semantic to Instance Representation Learning","created":"2023-08-14","cited_by_count":12,"area":null},{"id":"2502.08417","title":"Handwritten Text Recognition: A Survey","created":"2025-02-12","cited_by_count":12,"area":null},{"id":"2209.06717","title":"Out-of-Vocabulary Challenge Report","created":"2022-09-14","cited_by_count":11,"area":null},{"id":"2405.11757","title":"DLAFormer: An End-to-End Transformer For Document Layout Analysis","created":"2024-05-20","cited_by_count":11,"area":null},{"id":"2405.21013","title":"StrucTexTv3: An Efficient Vision-Language Model for Text-rich Image Perception, Comprehension, and Beyond","created":"2024-05-31","cited_by_count":11,"area":"mllm"},{"id":"2407.12317","title":"Out of Length Text Recognition with Sub-String Matching","created":"2024-07-17","cited_by_count":11,"area":null},{"id":"2308.10408","title":"Turning a CLIP Model into a Scene Text Spotter","created":"2023-08-21","cited_by_count":9,"area":null},{"id":"2404.04624","title":"Bridging the Gap Between End-to-End and Two-Step Text Spotting","created":"2024-04-06","cited_by_count":9,"area":null},{"id":"2301.05935","title":"End-to-End Page-Level Assessment of Handwritten Text Recognition","created":"2023-01-14","cited_by_count":8,"area":null},{"id":"2310.17674","title":"Hierarchical Text Spotter for Joint Text Spotting and Layout Analysis","created":"2023-10-25","cited_by_count":8,"area":null},{"id":"2402.08017","title":"Lumos : Empowering Multimodal LLMs with Scene Text Recognition","created":"2024-02-12","cited_by_count":8,"area":"mllm"},{"id":"2412.15523","title":"InstructOCR: Instruction Boosting Scene Text Spotting","created":"2024-12-20","cited_by_count":7,"area":null},{"id":"2501.06659","title":"Visual Template Inference for Data Extraction from Documents","created":"2025-01-11","cited_by_count":7,"area":null},{"id":"2607.06560","title":"Vision as Unified Multimodal Generation","created":"2026-07-07","cited_by_count":7,"area":null},{"id":"2207.12955","title":"Contextual Text Block Detection towards Scene Text Understanding","created":"2022-07-26","cited_by_count":6,"area":null},{"id":"2212.02340","title":"CBNet: A Plug-and-Play Network for Segmentation-Based Scene Text Detection","created":"2022-12-05","cited_by_count":6,"area":null},{"id":"2311.00734","title":"On Manipulating Scene Text in the Wild with Diffusion Models","created":"2023-11-01","cited_by_count":6,"area":"diffusion"},{"id":"2511.21750","title":"SO-Bench: A Structural Output Evaluation of Multimodal LLMs","created":"2025-11-23","cited_by_count":6,"area":"mllm"},{"id":"2211.03256","title":"On Web-based Visual Corpus Construction for Visual Document Understanding","created":"2022-11-07","cited_by_count":5,"area":null},{"id":"2308.10531","title":"SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression","created":"2023-08-21","cited_by_count":5,"area":null},{"id":"2403.10047","title":"TextBlockV2: Towards Precise-Detection-Free Scene Text Spotting with Pre-trained Language Model","created":"2024-03-15","cited_by_count":5,"area":null},{"id":"2306.06823","title":"Weakly supervised information extraction from inscrutable handwritten document images","created":"2023-06-12","cited_by_count":4,"area":null},{"id":"2308.13173","title":"DISGO: Automatic End-to-End Evaluation for Scene Text OCR","created":"2023-08-25","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":"2505.12307","title":"LogicOCR: Do Your Large Multimodal Models Excel at Logical Reasoning on Text-Rich Images?","created":"2025-05-18","cited_by_count":4,"area":"lr"},{"id":"2607.11562","title":"MonkeyOCRv2: A Visual-Text Foundation Model for Document AI","created":"2026-07-13","cited_by_count":4,"area":null},{"id":"2309.12382","title":"SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap","created":"2023-09-21","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":"2505.15649","title":"The Devil is in Fine-tuning and Long-tailed Problems:A New Benchmark for Scene Text Detection","created":"2025-05-21","cited_by_count":3,"area":null},{"id":"2506.03799","title":"ConText: Driving In-context Learning for Text Removal and Segmentation","created":"2025-06-04","cited_by_count":3,"area":null},{"id":"2209.00859","title":"Vision-Language Adaptive Mutual Decoder for OOV-STR","created":"2022-09-02","cited_by_count":2,"area":null},{"id":"2303.16531","title":"RusTitW: Russian Language Text Dataset for Visual Text in-the-Wild Recognition","created":"2023-03-29","cited_by_count":2,"area":null},{"id":"2309.00410","title":"Selective Scene Text Removal","created":"2023-09-01","cited_by_count":2,"area":null},{"id":"2309.02356","title":"STEP -- Towards Structured Scene-Text Spotting","created":"2023-09-05","cited_by_count":2,"area":null},{"id":"2402.05804","title":"InkSight: Offline-to-Online Handwriting Conversion by Teaching Vision-Language Models to Read and Write","created":"2024-02-08","cited_by_count":2,"area":null},{"id":"2405.07481","title":"Text Grouping Adapter: Adapting Pre-trained Text Detector for Layout Analysis","created":"2024-05-13","cited_by_count":2,"area":null},{"id":"2405.19765","title":"Towards Unified Multi-granularity Text Detection with Interactive Attention","created":"2024-05-30","cited_by_count":2,"area":null},{"id":"2408.14805","title":"Platypus: A Generalized Specialist Model for Reading Text in Various Forms","created":"2024-08-27","cited_by_count":2,"area":null},{"id":"2408.14998","title":"FastTextSpotter: A High-Efficiency Transformer for Multilingual Scene Text Spotting","created":"2024-08-27","cited_by_count":2,"area":null},{"id":"2503.18641","title":"From Fragment to One Piece: A Survey on AI-Driven Graphic Design","created":"2025-03-24","cited_by_count":2,"area":null},{"id":"2604.14684","title":"DETR-ViP: Detection Transformer with Robust Discriminative Visual Prompts","created":"2026-04-16","cited_by_count":2,"area":null},{"id":"2208.02747","title":"Runner-Up Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: Cropped Word Recognition","created":"2022-08-04","cited_by_count":1,"area":null},{"id":"2310.00917","title":"Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance","created":"2023-10-02","cited_by_count":1,"area":null},{"id":"2401.09232","title":"Dynamic Relation Transformer for Contextual Text Block Detection","created":"2024-01-17","cited_by_count":1,"area":null},{"id":"2410.21913","title":"Structured Analysis and Comparison of Alphabets in Historical Handwritten Ciphers","created":"2024-10-29","cited_by_count":1,"area":null},{"id":"2505.23119","title":"TextSR: Diffusion Super-Resolution with Multilingual OCR Guidance","created":"2025-05-29","cited_by_count":1,"area":"diffusion"},{"id":"2506.06761","title":"The OCR Quest for Generalization: Learning to recognize low-resource alphabets with model editing","created":"2025-06-07","cited_by_count":1,"area":null},{"id":"2506.21474","title":"Logios : An open source Greek Polytonic Optical Character Recognition system","created":"2025-06-26","cited_by_count":1,"area":null},{"id":"2603.00702","title":"Towards Universal Khmer Text Recognition","created":"2026-02-28","cited_by_count":1,"area":null},{"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":"2209.00224","title":"1st Place Solution to ECCV 2022 Challenge on Out of Vocabulary Scene Text Understanding: End-to-End Recognition of Out of Vocabulary Words","created":"2022-09-01","cited_by_count":0,"area":null},{"id":"2308.10647","title":"bbOCR: An Open-source Multi-domain OCR Pipeline for Bengali Documents","created":"2023-08-21","cited_by_count":0,"area":null},{"id":"2406.13208","title":"Block-level Text Spotting with LLMs","created":"2024-06-19","cited_by_count":0,"area":null},{"id":"2411.01139","title":"HIP: Hierarchical Point Modeling and Pre-training for Visual Information Extraction","created":"2024-11-02","cited_by_count":0,"area":null},{"id":"2506.22589","title":"LIGHT: Multi-Modal Text Linking on Historical Maps","created":"2025-06-27","cited_by_count":0,"area":null},{"id":"2509.17707","title":"Automatic Intermodal Loading Unit Identification using Computer Vision: A Scoping Review","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2510.07951","title":"A Large-scale Dataset for Robust Complex Anime Scene Text Detection","created":"2025-10-09","cited_by_count":0,"area":null},{"id":"2510.15557","title":"ClapperText: A Benchmark for Text Recognition in Low-Resource Archival Documents","created":"2025-10-17","cited_by_count":0,"area":null},{"id":"2511.19919","title":"HybriDLA: Hybrid Generation for Document Layout Analysis","created":"2025-11-25","cited_by_count":0,"area":null},{"id":"2602.19188","title":"PositionOCR: Augmenting Positional Awareness in Multi-Modal Models via Hybrid Specialist Integration","created":"2026-02-22","cited_by_count":0,"area":"mllm"},{"id":"2603.25168","title":"ET-SAM: Efficient Point Prompt Prediction in SAM for Unified Scene Text Detection and Layout Analysis","created":"2026-03-26","cited_by_count":0,"area":null},{"id":"2608.28676","title":"Automated pipeline for herbarium label digitization","created":"2026-08-25","cited_by_count":0,"area":null},{"id":"2608.30247","title":"OPUS: A Simple yet Effective Unified Framework for Open-Vocabulary Detection","created":"2026-08-31","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},{"id":"2609.39684","title":"Unapologetically Distributed: A Call for Decentralized Document Analysis","created":"2026-09-30","cited_by_count":0,"area":null},{"id":"2610.20461","title":"Equal CER, Unequal Damage: Severity-Weighted Character Error Rate for OCR","created":"2026-10-14","cited_by_count":0,"area":"mllm"}],"next_cursor":null}