{"total":50,"rows":[{"id":"2404.16821","title":"How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites","created":"2024-04-25","cited_by_count":1050,"area":"mllm"},{"id":"2401.16420","title":"InternLM-XComposer2: Mastering Free-form Text-Image Composition and Comprehension in Vision-Language Large Model","created":"2024-01-29","cited_by_count":326,"area":"mllm"},{"id":"2403.11703","title":"LLaVA-UHD: an LMM Perceiving Any Aspect Ratio and High-Resolution Images","created":"2024-03-18","cited_by_count":195,"area":"mllm"},{"id":"2407.03320","title":"InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output","created":"2024-07-03","cited_by_count":195,"area":"mllm"},{"id":"2402.03766","title":"MobileVLM V2: Faster and Stronger Baseline for Vision Language Model","created":"2024-02-06","cited_by_count":174,"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":"2407.02392","title":"TokenPacker: Efficient Visual Projector for Multimodal LLM","created":"2024-07-02","cited_by_count":172,"area":"mllm"},{"id":"2405.20797","title":"Ovis: Structural Embedding Alignment for Multimodal Large Language Model","created":"2024-05-31","cited_by_count":169,"area":"mllm"},{"id":"2404.06512","title":"InternLM-XComposer2-4KHD: A Pioneering Large Vision-Language Model Handling Resolutions from 336 Pixels to 4K HD","created":"2024-04-09","cited_by_count":159,"area":"mllm"},{"id":"2501.11561","title":"Teaching Large Language Models to Regress Accurate Image Quality Scores using Score Distribution","created":"2025-01-20","cited_by_count":141,"area":"mllm"},{"id":"2402.18476","title":"IBD: Alleviating Hallucinations in Large Vision-Language Models via Image-Biased Decoding","created":"2024-02-28","cited_by_count":118,"area":"mllm"},{"id":"2401.16160","title":"LLaVA-MoLE: Sparse Mixture of LoRA Experts for Mitigating Data Conflicts in Instruction Finetuning MLLMs","created":"2024-01-29","cited_by_count":84,"area":"mllm"},{"id":"2404.13046","title":"MoVA: Adapting Mixture of Vision Experts to Multimodal Context","created":"2024-04-19","cited_by_count":83,"area":"mllm"},{"id":"2404.12803","title":"TextSquare: Scaling up Text-Centric Visual Instruction Tuning","created":"2024-04-19","cited_by_count":62,"area":"mllm"},{"id":"2401.12503","title":"Small Language Model Meets with Reinforced Vision Vocabulary","created":"2024-01-23","cited_by_count":43,"area":"mllm"},{"id":"2501.02765","title":"Visual Large Language Models for Generalized and Specialized Applications","created":"2025-01-06","cited_by_count":36,"area":"mllm"},{"id":"2406.19101","title":"DocKylin: A Large Multimodal Model for Visual Document Understanding with Efficient Visual Slimming","created":"2024-06-27","cited_by_count":35,"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":"2404.10501","title":"Self-Supervised Visual Preference Alignment","created":"2024-04-16","cited_by_count":31,"area":"mllm"},{"id":"2405.15738","title":"ConvLLaVA: Hierarchical Backbones as Visual Encoder for Large Multimodal Models","created":"2024-05-24","cited_by_count":26,"area":"mllm"},{"id":"2408.02034","title":"Mini-Monkey: Alleviating the Semantic Sawtooth Effect for Lightweight MLLMs via Complementary Image Pyramid","created":"2024-08-04","cited_by_count":26,"area":"mllm"},{"id":"2410.11538","title":"MCTBench: Multimodal Cognition towards Text-Rich Visual Scenes Benchmark","created":"2024-10-15","cited_by_count":26,"area":"mllm"},{"id":"2406.03496","title":"Wings: Learning Multimodal LLMs without Text-only Forgetting","created":"2024-06-05","cited_by_count":23,"area":"mllm"},{"id":"2503.01222","title":"Retrieval-Augmented Perception: High-Resolution Image Perception Meets Visual RAG","created":"2025-03-03","cited_by_count":23,"area":"mllm"},{"id":"2411.14228","title":"FocusLLaVA: A Coarse-to-Fine Approach for Efficient and Effective Visual Token Compression","created":"2024-11-21","cited_by_count":22,"area":"mllm"},{"id":"2405.07990","title":"Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots","created":"2024-05-13","cited_by_count":21,"area":"mllm"},{"id":"2406.18977","title":"RoboUniView: Visual-Language Model with Unified View Representation for Robotic Manipulation","created":"2024-06-27","cited_by_count":20,"area":"mllm"},{"id":"2405.20339","title":"Visual Perception by Large Language Model's Weights","created":"2024-05-30","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":"2408.16357","title":"Law of Vision Representation in MLLMs","created":"2024-08-29","cited_by_count":18,"area":"mllm"},{"id":"2409.04828","title":"POINTS: Improving Your Vision-language Model with Affordable Strategies","created":"2024-09-07","cited_by_count":17,"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":"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":"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":"2411.17125","title":"DOGR: Towards Versatile Visual Document Grounding and Referring","created":"2024-11-26","cited_by_count":10,"area":"mllm"},{"id":"2507.18300","title":"LMM-Det: Make Large Multimodal Models Excel in Object Detection","created":"2025-07-24","cited_by_count":10,"area":"mllm"},{"id":"2410.02745","title":"AVG-LLaVA: An Efficient Large Multimodal Model with Adaptive Visual Granularity","created":"2024-09-20","cited_by_count":9,"area":"mllm"},{"id":"2502.04371","title":"PerPO: Perceptual Preference Optimization via Discriminative Rewarding","created":"2025-02-05","cited_by_count":9,"area":"mllm"},{"id":"2412.13871","title":"LLaVA-UHD v2: an MLLM Integrating High-Resolution Semantic Pyramid via Hierarchical Window Transformer","created":"2024-12-18","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":"2507.03262","title":"Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders","created":"2025-07-04","cited_by_count":5,"area":"mllm"},{"id":"2407.16198","title":"INF-LLaVA: Dual-perspective Perception for High-Resolution Multimodal Large Language Model","created":"2024-07-23","cited_by_count":4,"area":"mllm"},{"id":"2411.14797","title":"Continual SFT Matches Multimodal RLHF with Negative Supervision","created":"2024-11-22","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":"2412.16869","title":"CoF: Coarse to Fine-Grained Image Understanding for Multi-modal Large Language Models","created":"2024-12-22","cited_by_count":3,"area":"mllm"},{"id":"2407.18626","title":"Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language Models","created":"2024-07-26","cited_by_count":1,"area":"mllm"},{"id":"2408.16986","title":"AdaptVision: Dynamic Input Scaling in MLLMs for Versatile Scene Understanding","created":"2024-08-30","cited_by_count":1,"area":"mllm"},{"id":"2503.20492","title":"Towards Efficient and General-Purpose Few-Shot Misclassification Detection for Vision-Language Models","created":"2025-03-26","cited_by_count":1,"area":"mllm"},{"id":"2508.12263","title":"Region-Level Context-Aware Multimodal Understanding","created":"2025-08-17","cited_by_count":1,"area":"mllm"},{"id":"2610.11148","title":"SP-DocReader: Difference-Aware Self-Play for Precise Document OCR","created":"2026-10-08","cited_by_count":0,"area":"mllm"}],"next_cursor":null}