{"total":47,"rows":[{"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":"2503.11576","title":"SmolDocling: An ultra-compact vision-language model for end-to-end multi-modal document conversion","created":"2025-03-14","cited_by_count":53,"area":"mllm"},{"id":"2502.06788","title":"EVEv2: Improved Baselines for Encoder-Free Vision-Language Models","created":"2025-02-10","cited_by_count":41,"area":"mllm"},{"id":"2509.01215","title":"POINTS-Reader: Distillation-Free Adaptation of Vision-Language Models for Document Conversion","created":"2025-09-01","cited_by_count":34,"area":"mllm"},{"id":"2410.05261","title":"TextHawk2: A Large Vision-Language Model Excels in Bilingual OCR and Grounding with 16x Fewer Tokens","created":"2024-10-07","cited_by_count":32,"area":"mllm"},{"id":"2410.13824","title":"Harnessing Webpage UIs for Text-Rich Visual Understanding","created":"2024-10-17","cited_by_count":28,"area":"mllm"},{"id":"2412.08746","title":"DocVLM: Make Your VLM an Efficient Reader","created":"2024-12-11","cited_by_count":28,"area":"mllm"},{"id":"2504.17447","title":"FRAG: Frame Selection Augmented Generation for Long Video and Long Document Understanding","created":"2025-04-24","cited_by_count":27,"area":"mllm"},{"id":"2501.15558","title":"Ocean-OCR: Towards General OCR Application via a Vision-Language Model","created":"2025-01-26","cited_by_count":25,"area":"mllm"},{"id":"2503.14140","title":"Marten: Visual Question Answering with Mask Generation for Multi-modal Document Understanding","created":"2025-03-18","cited_by_count":20,"area":"mllm"},{"id":"2507.14675","title":"Docopilot: Improving Multimodal Models for Document-Level Understanding","created":"2025-07-19","cited_by_count":19,"area":"mllm"},{"id":"2410.01744","title":"Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks","created":"2024-10-02","cited_by_count":18,"area":"mllm"},{"id":"2510.15349","title":"Infinity Parser: Layout Aware Reinforcement Learning for Scanned Document Parsing","created":"2025-10-17","cited_by_count":17,"area":"mllm"},{"id":"2410.05970","title":"PDF-WuKong: A Large Multimodal Model for Efficient Long PDF Reading with End-to-End Sparse Sampling","created":"2024-10-08","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":"2503.21817","title":"Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping","created":"2025-03-26","cited_by_count":12,"area":"mllm"},{"id":"2412.05983","title":"Chimera: Improving Generalist Model with Domain-Specific Experts","created":"2024-12-08","cited_by_count":11,"area":"mllm"},{"id":"2508.00553","title":"HiPrune: Hierarchical Attention for Efficient Token Pruning in Vision-Language Models","created":"2025-08-01","cited_by_count":11,"area":"mllm"},{"id":"2411.17125","title":"DOGR: Towards Versatile Visual Document Grounding and Referring","created":"2024-11-26","cited_by_count":10,"area":"mllm"},{"id":"2502.17540","title":"PosterSum: A Multimodal Benchmark for Scientific Poster Summarization","created":"2025-02-24","cited_by_count":10,"area":"mllm"},{"id":"2502.16586","title":"Multimodal Large Language Models for Text-rich Image Understanding: A Comprehensive Review","created":"2025-02-23","cited_by_count":9,"area":"mllm"},{"id":"2511.04727","title":"IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs","created":"2025-11-06","cited_by_count":8,"area":"mllm"},{"id":"2603.23885","title":"Towards Real-World Document Parsing via Realistic Scene Synthesis and Document-Aware Training","created":"2026-03-25","cited_by_count":7,"area":"mllm"},{"id":"2503.04095","title":"Chart-HQA: A Benchmark for Hypothetical Question Answering in Charts","created":"2025-03-06","cited_by_count":6,"area":"mllm"},{"id":"2507.08309","title":"Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency","created":"2025-07-11","cited_by_count":5,"area":"mllm"},{"id":"2511.10552","title":"URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding","created":"2025-11-13","cited_by_count":5,"area":"mllm"},{"id":"2602.07038","title":"UNIKIE-BENCH: Benchmarking Large Multimodal Models for Key Information Extraction in Visual Documents","created":"2026-02-03","cited_by_count":5,"area":"mllm"},{"id":"2501.14276","title":"Global Semantic-Guided Sub-image Feature Weight Allocation in High-Resolution Large Vision-Language Models","created":"2025-01-24","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":"2511.15059","title":"Evaluating Multimodal Large Language Models on Vertically Written Japanese Text","created":"2025-11-19","cited_by_count":4,"area":"mllm"},{"id":"2604.00886","title":"PixelPrune: Pixel-Level Adaptive Visual Token Reduction via Predictive Coding","created":"2026-04-01","cited_by_count":4,"area":"mllm"},{"id":"2412.08378","title":"FILA: Fine-Grained Vision Language Models","created":"2024-12-11","cited_by_count":3,"area":"mllm"},{"id":"2503.21839","title":"M-DocSum: Do LVLMs Genuinely Comprehend Interleaved Image-Text in Document Summarization?","created":"2025-03-27","cited_by_count":3,"area":"mllm"},{"id":"2504.01048","title":"How does Watermarking Affect Visual Language Models in Document Understanding?","created":"2025-04-01","cited_by_count":2,"area":"mllm"},{"id":"2508.17334","title":"Mind the (Language) Gap: Towards Probing Numerical and Cross-Lingual Limits of LVLMs","created":"2025-08-24","cited_by_count":2,"area":"mllm"},{"id":"2605.07019","title":"LensVLM: Selective Context Expansion for Compressed Visual Representation of Text","created":"2026-05-07","cited_by_count":2,"area":"mllm"},{"id":"2502.20295","title":"Judge a Book by its Cover: Investigating Multi-Modal LLMs for Multi-Page Handwritten Document Transcription","created":"2025-02-27","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":"2606.29805","title":"Clearer Sight, Fewer Lies: Oriented Pickup Preference Optimization for Multimodal Hallucination Mitigation","created":"2026-06-29","cited_by_count":1,"area":"mllm"},{"id":"2507.12490","title":"Spatially Grounded Explanations in Vision Language Models for Document Visual Question Answering","created":"2025-07-15","cited_by_count":0,"area":"mllm"},{"id":"2510.21850","title":"SCoPE VLM: Selective Context Processing for Efficient Document Navigation in Vision-Language Models","created":"2025-10-22","cited_by_count":0,"area":"mllm"},{"id":"2601.12260","title":"Docs2Synth: A Synthetic Data Trained Retriever Framework for Scanned Visually Rich Documents Understanding","created":"2026-01-18","cited_by_count":0,"area":"mllm"},{"id":"2602.00946","title":"ConsensusDrop: Fusing Visual and Cross-Modal Saliency for Efficient Vision Language Models","created":"2026-02-01","cited_by_count":0,"area":"mllm"},{"id":"2602.06402","title":"MeDocVL: A Visual Language Model for Medical Document Understanding and Parsing","created":"2026-02-06","cited_by_count":0,"area":"mllm"},{"id":"2608.19739","title":"Question-Guided Evidence Acquisition for Multimodal Visual Question Answering","created":"2026-08-20","cited_by_count":0,"area":"mllm"},{"id":"2608.29037","title":"DocIntent: Answerability-Guided Agentic Restoration for Real-World Document Visual Question Answering","created":"2026-08-29","cited_by_count":0,"area":"mllm"},{"id":"2609.29933","title":"An Empirical Study of VLM Pipelines for Long-Document QA","created":"2026-09-24","cited_by_count":0,"area":"mllm"}],"next_cursor":null}