{"total":30,"rows":[{"id":"2408.04840","title":"mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models","created":"2024-08-09","cited_by_count":291,"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":"2409.11402","title":"NVLM: Open Frontier-Class Multimodal LLMs","created":"2024-09-17","cited_by_count":125,"area":"mllm"},{"id":"2504.15271","title":"Eagle 2.5: Boosting Long-Context Post-Training for Frontier Vision-Language Models","created":"2025-04-21","cited_by_count":64,"area":"mllm"},{"id":"2406.11633","title":"DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models","created":"2024-06-17","cited_by_count":36,"area":"mllm"},{"id":"2412.08746","title":"DocVLM: Make Your VLM an Efficient Reader","created":"2024-12-11","cited_by_count":28,"area":"mllm"},{"id":"2409.18142","title":"A Survey on Multimodal Benchmarks: In the Era of Large AI Models","created":"2024-09-21","cited_by_count":27,"area":"mllm"},{"id":"2502.17425","title":"Introducing Visual Perception Token into Multimodal Large Language Model","created":"2025-02-24","cited_by_count":26,"area":"mllm"},{"id":"2411.01106","title":"SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding","created":"2024-11-02","cited_by_count":25,"area":"mllm"},{"id":"2410.21311","title":"MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding","created":"2024-10-25","cited_by_count":19,"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":"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":"2607.04884","title":"HunyuanOCR-1.5: Making Lightweight OCR VLMs Faster and Better","created":"2026-07-06","cited_by_count":14,"area":"mllm"},{"id":"2409.13711","title":"WebQuest: A Benchmark for Multimodal QA on Web Page Sequences","created":"2024-09-06","cited_by_count":12,"area":"mllm"},{"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":"2507.15882","title":"Document Haystack: A Long Context Multimodal Image/Document Understanding Vision LLM Benchmark","created":"2025-07-18","cited_by_count":6,"area":"mllm"},{"id":"2411.07722","title":"Is Cognition Consistent with Perception? Assessing and Mitigating Multimodal Knowledge Conflicts in Document Understanding","created":"2024-11-12","cited_by_count":4,"area":"mllm"},{"id":"2601.11976","title":"AVIR: Adaptive Visual In-Document Retrieval for Efficient Multi-Page Document Question Answering","created":"2026-01-17","cited_by_count":4,"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":"2605.03903","title":"CC-OCR V2: Fine-Grained Attribution of LMM Failures in Real-World Visual Document Understanding","created":"2026-05-05","cited_by_count":3,"area":"mllm"},{"id":"2508.18984","title":"Enhancing Document VQA Models via Retrieval-Augmented Generation","created":"2025-08-26","cited_by_count":2,"area":"mllm"},{"id":"2509.10129","title":"Towards Reliable and Interpretable Document Question Answering via VLMs","created":"2025-09-12","cited_by_count":2,"area":"mllm"},{"id":"2511.14998","title":"FinCriticalED: A Visual Benchmark for Financial Fact-Level OCR","created":"2025-11-19","cited_by_count":2,"area":"mllm"},{"id":"2606.03410","title":"Enginuity: A Dataset and Benchmark for Vision-Language Understanding of Engineering Diagrams","created":"2026-06-02","cited_by_count":1,"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":"2603.27942","title":"JaWildText: A Benchmark for Vision-Language Models on Japanese Scene Text Understanding","created":"2026-03-30","cited_by_count":0,"area":"mllm"},{"id":"2605.18774","title":"M3DocDep: Multi-modal, Multi-page, Multi-document Dependency Chunking with Large Vision-Language Models","created":"2026-04-17","cited_by_count":0,"area":"mllm"},{"id":"2608.08802","title":"Improving Generalization Robustness of Multimodal RLVR","created":"2026-08-09","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}