{"total":179,"rows":[{"id":"2407.11691","title":"VLMEvalKit: An Open-Source Toolkit for Evaluating Large Multi-Modality Models","created":"2024-07-16","cited_by_count":455,"area":null},{"id":"2410.10594","title":"VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents","created":"2024-10-14","cited_by_count":245,"area":"rag"},{"id":"2407.01523","title":"MMLongBench-Doc: Benchmarking Long-context Document Understanding with Visualizations","created":"2024-07-01","cited_by_count":183,"area":null},{"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":"2305.08455","title":"Document Understanding Dataset and Evaluation (DUDE)","created":"2023-05-15","cited_by_count":135,"area":null},{"id":"2409.11402","title":"NVLM: Open Frontier-Class Multimodal LLMs","created":"2024-09-17","cited_by_count":125,"area":"mllm"},{"id":"2501.15368","title":"Baichuan-Omni-1.5 Technical Report","created":"2025-01-26","cited_by_count":111,"area":null},{"id":"2404.18532","title":"MileBench: Benchmarking MLLMs in Long Context","created":"2024-04-29","cited_by_count":88,"area":"mllm"},{"id":"2311.18799","title":"X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning","created":"2023-11-30","cited_by_count":80,"area":"lr"},{"id":"2308.04152","title":"Fine-tuning Multimodal LLMs to Follow Zero-shot Demonstrative Instructions","created":"2023-08-08","cited_by_count":77,"area":"mllm"},{"id":"2407.09413","title":"SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers","created":"2024-07-12","cited_by_count":75,"area":null},{"id":"2505.22019","title":"VRAG-RL: Empower Vision-Perception-Based RAG for Visually Rich Information Understanding via Iterative Reasoning with Reinforcement Learning","created":"2025-05-28","cited_by_count":68,"area":"rag"},{"id":"2408.02718","title":"MMIU: Multimodal Multi-image Understanding for Evaluating Large Vision-Language Models","created":"2024-08-05","cited_by_count":67,"area":"mllm"},{"id":"2503.13964","title":"MDocAgent: A Multi-Modal Multi-Agent Framework for Document Understanding","created":"2025-03-18","cited_by_count":67,"area":"agents"},{"id":"2502.18017","title":"ViDoRAG: Visual Document Retrieval-Augmented Generation via Dynamic Iterative Reasoning Agents","created":"2025-02-25","cited_by_count":66,"area":"rag"},{"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":"2504.09795","title":"VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents","created":"2025-04-14","cited_by_count":59,"area":"rag"},{"id":"2407.13766","title":"Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark","created":"2024-07-18","cited_by_count":55,"area":"mllm"},{"id":"2403.12027","title":"From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models","created":"2024-03-18","cited_by_count":53,"area":null},{"id":"2510.17269","title":"FineVision: Open Data Is All You Need","created":"2025-10-20","cited_by_count":53,"area":"mllm"},{"id":"2501.08828","title":"MMDocIR: Benchmarking Multimodal Retrieval for Long Documents","created":"2025-01-15","cited_by_count":43,"area":null},{"id":"2412.10704","title":"VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented Generation","created":"2024-12-14","cited_by_count":41,"area":"rag"},{"id":"2410.12332","title":"MC-Bench: A Benchmark for Multi-Context Visual Grounding in the Era of MLLMs","created":"2024-10-16","cited_by_count":39,"area":"mllm"},{"id":"2504.08748","title":"A Survey of Multimodal Retrieval-Augmented Generation","created":"2025-03-26","cited_by_count":37,"area":"rag"},{"id":"2403.17830","title":"Assessment of Multimodal Large Language Models in Alignment with Human Values","created":"2024-03-26","cited_by_count":36,"area":"mllm"},{"id":"2411.06176","title":"M-Longdoc: A Benchmark For Multimodal Super-Long Document Understanding And A Retrieval-Aware Tuning Framework","created":"2024-11-09","cited_by_count":36,"area":null},{"id":"2505.16470","title":"Benchmarking Retrieval-Augmented Multimodal Generation for Document Question Answering","created":"2025-05-22","cited_by_count":36,"area":"rag"},{"id":"2502.12342","title":"REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark","created":"2025-02-17","cited_by_count":35,"area":"rag"},{"id":"2506.14035","title":"SimpleDoc: Multi-Modal Document Understanding with Dual-Cue Page Retrieval and Iterative Refinement","created":"2025-06-16","cited_by_count":28,"area":null},{"id":"2605.27365","title":"LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding","created":"2026-05-26","cited_by_count":28,"area":"mllm"},{"id":"2401.13313","title":"InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions","created":"2024-01-24","cited_by_count":27,"area":null},{"id":"2404.09204","title":"TextHawk: Exploring Efficient Fine-Grained Perception of Multimodal Large Language Models","created":"2024-04-14","cited_by_count":27,"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":"2506.04997","title":"Towards Storage-Efficient Visual Document Retrieval: An Empirical Study on Reducing Patch-Level Embeddings","created":"2025-06-05","cited_by_count":26,"area":"inference"},{"id":"2311.00308","title":"From Image to Language: A Critical Analysis of Visual Question Answering (VQA) Approaches, Challenges, and Opportunities","created":"2023-11-01","cited_by_count":25,"area":null},{"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":"2510.16724","title":"A Comprehensive Survey on Reinforcement Learning-based Agentic Search: Foundations, Roles, Optimizations, Evaluations, and Applications","created":"2025-10-19","cited_by_count":22,"area":"rag"},{"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":"2411.16740","title":"Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents","created":"2024-11-23","cited_by_count":17,"area":"mllm"},{"id":"2509.07666","title":"MoLoRAG: Bootstrapping Document Understanding via Multi-modal Logic-aware Retrieval","created":"2025-09-06","cited_by_count":17,"area":"synth"},{"id":"2511.03929","title":"NVIDIA Nemotron Nano V2 VL","created":"2025-11-06","cited_by_count":17,"area":null},{"id":"2502.16636","title":"Visual-RAG: Benchmarking Text-to-Image Retrieval Augmented Generation for Visual Knowledge Intensive Queries","created":"2025-02-23","cited_by_count":16,"area":"rag"},{"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":"2508.07493","title":"VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding","created":"2025-08-10","cited_by_count":14,"area":"rag"},{"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":"2502.17540","title":"PosterSum: A Multimodal Benchmark for Scientific Poster Summarization","created":"2025-02-24","cited_by_count":10,"area":"mllm"},{"id":"2602.19549","title":"Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework","created":"2026-02-23","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":"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":"2510.15253","title":"Scaling Beyond Context: A Survey of Multimodal Retrieval-Augmented Generation for Document Understanding","created":"2025-10-17","cited_by_count":9,"area":"rag"},{"id":"2604.05546","title":"Efficient Inference for Large Vision-Language Models: Bottlenecks, Techniques, and Prospects","created":"2026-04-07","cited_by_count":9,"area":"lr"},{"id":"2402.14840","title":"RJUA-MedDQA: A Multimodal Benchmark for Medical Document Question Answering and Clinical Reasoning","created":"2024-02-19","cited_by_count":8,"area":"lr"},{"id":"2409.09502","title":"One missing piece in Vision and Language: A Survey on Comics Understanding","created":"2024-09-14","cited_by_count":8,"area":"mllm"},{"id":"2410.00201","title":"DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation","created":"2024-09-30","cited_by_count":8,"area":null},{"id":"2501.03403","title":"BoundingDocs: a Unified Dataset for Document Question Answering with Spatial Annotations","created":"2025-01-06","cited_by_count":8,"area":null},{"id":"2502.11431","title":"Any Information Is Just Worth One Single Screenshot: Unifying Search With Visualized Information Retrieval","created":"2025-02-17","cited_by_count":8,"area":null},{"id":"2506.15594","title":"WikiMixQA: A Multimodal Benchmark for Question Answering over Tables and Charts","created":"2025-06-18","cited_by_count":8,"area":null},{"id":"2508.15851","title":"DocHop-QA: Towards Multi-Hop Reasoning over Multimodal Document Collections","created":"2025-08-20","cited_by_count":8,"area":"lr"},{"id":"2510.27261","title":"RegionRAG: Region-level Retrieval-Augmented Generation for Visual Document Understanding","created":"2025-10-31","cited_by_count":8,"area":"rag"},{"id":"2511.20648","title":"LocateAnything3D: Vision-Language 3D Detection with Chain-of-Sight","created":"2025-11-25","cited_by_count":8,"area":null},{"id":"2404.12720","title":"PDF-MVQA: A Dataset for Multimodal Information Retrieval in PDF-based Visual Question Answering","created":"2024-04-19","cited_by_count":7,"area":null},{"id":"2405.18433","title":"Notes on Applicability of GPT-4 to Document Understanding","created":"2024-05-28","cited_by_count":7,"area":null},{"id":"2512.20626","title":"MegaRAG: Multimodal Knowledge Graph-Based Retrieval Augmented Generation","created":"2025-11-26","cited_by_count":7,"area":"rag"},{"id":"2605.14054","title":"Bad Seeing or Bad Thinking? Rewarding Perception for Multimodal Reasoning","created":"2026-05-13","cited_by_count":7,"area":"lr"},{"id":"2410.22736","title":"Constructing Multimodal Datasets from Scratch for Rapid Development of a Japanese Visual Language Model","created":"2024-10-30","cited_by_count":6,"area":"mllm"},{"id":"2505.18605","title":"Rethinking Causal Mask Attention for Vision-Language Inference","created":"2025-05-24","cited_by_count":6,"area":"lr"},{"id":"2506.20844","title":"The Next Phase of Scientific Fact-Checking: Advanced Evidence Retrieval from Complex Structured Academic Papers","created":"2025-06-25","cited_by_count":6,"area":null},{"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":"2511.17490","title":"Video-R4: Reinforcing Text-Rich Video Reasoning with Visual Rumination","created":"2025-11-21","cited_by_count":6,"area":null},{"id":"2605.15710","title":"SMMBench: A Benchmark for Source-Distributed Multimodal Agent Memory","created":"2026-05-15","cited_by_count":6,"area":null},{"id":"2409.12953","title":"JourneyBench: A Challenging One-Stop Vision-Language Understanding Benchmark of Generated Images","created":"2024-09-19","cited_by_count":5,"area":"lr"},{"id":"2508.03644","title":"Are We on the Right Way for Assessing Document Retrieval-Augmented Generation?","created":"2025-08-05","cited_by_count":5,"area":"mllm"},{"id":"2510.13366","title":"Document Intelligence in the Era of Large Language Models: A Survey","created":"2025-10-15","cited_by_count":5,"area":null},{"id":"2511.20227","title":"HKRAG: Holistic Knowledge Retrieval-Augmented Generation Over Visually-Rich Documents","created":"2025-11-25","cited_by_count":5,"area":"rag"},{"id":"2512.13303","title":"ShowTable: Unlocking Creative Table Visualization with Collaborative Reflection and Refinement","created":"2025-12-15","cited_by_count":5,"area":null},{"id":"2602.12735","title":"VimRAG: Navigating Massive Visual Context in Retrieval-Augmented Generation via Multimodal Memory Graph","created":"2026-02-13","cited_by_count":5,"area":"rag"},{"id":"2605.12882","title":"CiteVQA: Benchmarking Evidence Attribution for Trustworthy Document Intelligence","created":"2026-05-13","cited_by_count":5,"area":null},{"id":"2606.07402","title":"M$^3$Exam: Benchmarking Multimodal Memory for Realistic User-Agent Interactions","created":"2026-06-05","cited_by_count":5,"area":"agents"},{"id":"2501.02235","title":"Survey on Question Answering over Visually Rich Documents: Methods, Challenges, and Trends","created":"2025-01-04","cited_by_count":4,"area":null},{"id":"2501.19339","title":"PixelWorld: How Far Are We from Perceiving Everything as Pixels?","created":"2025-01-31","cited_by_count":4,"area":"agents"},{"id":"2509.25339","title":"VisualOverload: Probing Visual Understanding of VLMs in Really Dense Scenes","created":"2025-09-29","cited_by_count":4,"area":null},{"id":"2510.22215","title":"Hybrid-Vector Retrieval for Visually Rich Documents: Combining Single-Vector Efficiency and Multi-Vector Accuracy","created":"2025-10-25","cited_by_count":4,"area":null},{"id":"2511.13478","title":"Semantic Document Derendering: SVG Reconstruction via Vision-Language Modeling","created":"2025-11-17","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":"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":"2602.10271","title":"MLDocRAG: Multimodal Long-Context Document Retrieval Augmented Generation","created":"2026-02-10","cited_by_count":4,"area":"rag"},{"id":"2312.12716","title":"BloomVQA: Assessing Hierarchical Multi-modal Comprehension","created":"2023-12-20","cited_by_count":3,"area":"mllm"},{"id":"2408.04632","title":"Arctic-TILT. Business Document Understanding at Sub-Billion Scale","created":"2024-08-08","cited_by_count":3,"area":null},{"id":"2503.04444","title":"ToFu: Visual Tokens Reduction via Fusion for Multi-modal, Multi-patch, Multi-image Task","created":"2025-03-06","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":"2504.09249","title":"NoTeS-Bank: Benchmarking Neural Transcription and Search for Scientific Notes Understanding","created":"2025-04-12","cited_by_count":3,"area":null},{"id":"2509.11662","title":"MindVL: Towards Efficient and Effective Training of Multimodal Large Language Models on Ascend NPUs","created":"2025-09-15","cited_by_count":3,"area":"mllm"},{"id":"2510.26615","title":"SlideAgent: Hierarchical Agentic Framework for Multi-Page Visual Document Understanding","created":"2025-10-30","cited_by_count":3,"area":"agents"},{"id":"2511.13415","title":"Attention Grounded Enhancement for Visual Document Retrieval","created":"2025-11-17","cited_by_count":3,"area":null},{"id":"2512.03514","title":"M3DR: Towards Universal Multilingual Multimodal Document Retrieval","created":"2025-12-03","cited_by_count":3,"area":null},{"id":"2512.12658","title":"CogDoc: Towards Unified thinking in Documents","created":"2025-12-14","cited_by_count":3,"area":null},{"id":"2602.00593","title":"Pix2Fact: When Vision Is Not Enough -- Benchmarking Fine-Grained VQA with Web Verification on High-Resolution Real-World Scenes","created":"2026-01-31","cited_by_count":3,"area":"mllm"},{"id":"2602.03866","title":"PaperX: A Unified Framework for Multimodal Academic Presentation Generation with Scholar DAG","created":"2026-01-30","cited_by_count":3,"area":null},{"id":"2604.05887","title":"HybridKV: Hybrid KV Cache Compression for Efficient Multimodal Large Language Model Inference","created":"2026-04-07","cited_by_count":3,"area":"lr"},{"id":"2604.16313","title":"MARA: A Multimodal Adaptive Retrieval-Augmented Framework for Document Question Answering","created":"2026-02-01","cited_by_count":3,"area":"rag"}],"next_cursor":"100"}