{"total":90,"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":"2501.12386","title":"InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling","created":"2025-01-21","cited_by_count":211,"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":"2408.12637","title":"Building and better understanding vision-language models: insights and future directions","created":"2024-08-22","cited_by_count":173,"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":"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":"2408.15542","title":"Kangaroo: A Powerful Video-Language Model Supporting Long-context Video Input","created":"2024-08-28","cited_by_count":134,"area":"mllm"},{"id":"2506.10967","title":"Beyond Attention or Similarity: Maximizing Conditional Diversity for Token Pruning in MLLMs","created":"2025-06-12","cited_by_count":96,"area":"mllm"},{"id":"2410.16261","title":"Mini-InternVL: A Flexible-Transfer Pocket Multimodal Model with 5% Parameters and 90% Performance","created":"2024-10-21","cited_by_count":94,"area":"mllm"},{"id":"2406.11833","title":"MMDU: A Multi-Turn Multi-Image Dialog Understanding Benchmark and Instruction-Tuning Dataset for LVLMs","created":"2024-06-17","cited_by_count":90,"area":"mllm"},{"id":"2410.08202","title":"Mono-InternVL: Pushing the Boundaries of Monolithic Multimodal Large Language Models with Endogenous Visual Pre-training","created":"2024-10-10","cited_by_count":82,"area":"mllm"},{"id":"2406.20098","title":"Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs","created":"2024-06-28","cited_by_count":74,"area":"mllm"},{"id":"2411.18211","title":"TimeMarker: A Versatile Video-LLM for Long and Short Video Understanding with Superior Temporal Localization Ability","created":"2024-11-27","cited_by_count":70,"area":"mllm"},{"id":"2502.14881","title":"A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations","created":"2025-02-14","cited_by_count":67,"area":"mllm"},{"id":"2405.19298","title":"Adaptive Image Quality Assessment via Teaching Large Multimodal Model to Compare","created":"2024-05-29","cited_by_count":66,"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":"2406.07230","title":"Needle In A Multimodal Haystack","created":"2024-06-11","cited_by_count":58,"area":"mllm"},{"id":"2410.11761","title":"SlideChat: A Large Vision-Language Assistant for Whole-Slide Pathology Image Understanding","created":"2024-10-15","cited_by_count":57,"area":"mllm"},{"id":"2412.09596","title":"InternLM-XComposer2.5-OmniLive: A Comprehensive Multimodal System for Long-term Streaming Video and Audio Interactions","created":"2024-12-12","cited_by_count":48,"area":"mllm"},{"id":"2412.03324","title":"A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs","created":"2024-12-04","cited_by_count":35,"area":"mllm"},{"id":"2502.00425","title":"MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization","created":"2025-02-01","cited_by_count":35,"area":"mllm"},{"id":"2406.17126","title":"MM-SpuBench: Towards Better Understanding of Spurious Biases in Multimodal LLMs","created":"2024-06-24","cited_by_count":33,"area":"mllm"},{"id":"2509.13317","title":"3D Aware Region Prompted Vision Language Model","created":"2025-09-16","cited_by_count":33,"area":"mllm"},{"id":"2406.10424","title":"What is the Visual Cognition Gap between Humans and Multimodal LLMs?","created":"2024-06-14","cited_by_count":30,"area":"mllm"},{"id":"2505.19147","title":"Shifting AI Efficiency From Model-Centric to Data-Centric Compression","created":"2025-05-25","cited_by_count":29,"area":"mllm"},{"id":"2412.09616","title":"V2PE: Improving Multimodal Long-Context Capability of Vision-Language Models with Variable Visual Position Encoding","created":"2024-12-12","cited_by_count":28,"area":"mllm"},{"id":"2412.09613","title":"PVC: Progressive Visual Token Compression for Unified Image and Video Processing in Large Vision-Language Models","created":"2024-12-12","cited_by_count":25,"area":"mllm"},{"id":"2410.18387","title":"Interpretable Bilingual Multimodal Large Language Model for Diverse Biomedical Tasks","created":"2024-10-24","cited_by_count":24,"area":"mllm"},{"id":"2412.01175","title":"OBI-Bench: Can LMMs Aid in Study of Ancient Script on Oracle Bones?","created":"2024-12-02","cited_by_count":22,"area":"mllm"},{"id":"2501.05767","title":"Migician: Revealing the Magic of Free-Form Multi-Image Grounding in Multimodal Large Language Models","created":"2025-01-10","cited_by_count":22,"area":"mllm"},{"id":"2504.10465","title":"Pixel-SAIL: Single Transformer For Pixel-Grounded Understanding","created":"2025-04-14","cited_by_count":22,"area":"mllm"},{"id":"2503.21307","title":"InternVL-X: Advancing and Accelerating InternVL Series with Efficient Visual Token Compression","created":"2025-03-27","cited_by_count":21,"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":"2411.10979","title":"VidComposition: Can MLLMs Analyze Compositions in Compiled Videos?","created":"2024-11-17","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":"2502.09620","title":"Exploring the Potential of Encoder-free Architectures in 3D LMMs","created":"2025-02-13","cited_by_count":16,"area":"mllm"},{"id":"2410.13859","title":"$\\gamma-$MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models","created":"2024-10-17","cited_by_count":14,"area":"mllm"},{"id":"2603.03985","title":"RIVER: A Real-Time Interaction Benchmark for Video LLMs","created":"2026-03-04","cited_by_count":14,"area":"mllm"},{"id":"2501.13707","title":"EventVL: Understand Event Streams via Multimodal Large Language Model","created":"2025-01-23","cited_by_count":13,"area":"mllm"},{"id":"2507.12566","title":"Mono-InternVL-1.5: Towards Cheaper and Faster Monolithic Multimodal Large Language Models","created":"2025-07-16","cited_by_count":13,"area":"mllm"},{"id":"2412.08443","title":"POINTS1.5: Building a Vision-Language Model towards Real World Applications","created":"2024-12-11","cited_by_count":12,"area":"mllm"},{"id":"2510.25122","title":"NanoVLA: Routing Decoupled Vision-Language Understanding for Nano-sized Generalist Robotic Policies","created":"2025-10-29","cited_by_count":12,"area":"mllm"},{"id":"2602.00135","title":"LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models","created":"2026-01-28","cited_by_count":11,"area":"mllm"},{"id":"2412.01822","title":"VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models","created":"2024-12-02","cited_by_count":10,"area":"mllm"},{"id":"2505.08725","title":"Extending Large Vision-Language Model for Diverse Interactive Tasks in Autonomous Driving","created":"2025-05-13","cited_by_count":10,"area":"mllm"},{"id":"2506.15681","title":"GenRecal: Generation after Recalibration from Large to Small Vision-Language Models","created":"2025-06-18","cited_by_count":10,"area":"mllm"},{"id":"2509.22624","title":"SPARK: Synergistic Policy And Reward Co-Evolving Framework","created":"2025-09-26","cited_by_count":10,"area":"mllm"},{"id":"2412.00060","title":"MOSABench: Multi-Object Sentiment Analysis Benchmark for Evaluating Multimodal Large Language Models Understanding of Complex Image","created":"2024-11-25","cited_by_count":9,"area":"mllm"},{"id":"2503.01887","title":"When Continue Learning Meets Multimodal Large Language Model: A Survey","created":"2025-02-27","cited_by_count":9,"area":"mllm"},{"id":"2503.20502","title":"MLLM-Selector: Necessity and Diversity-driven High-Value Data Selection for Enhanced Visual Instruction Tuning","created":"2025-03-26","cited_by_count":9,"area":"mllm"},{"id":"2503.23330","title":"EagleVision: Object-level Attribute Multimodal LLM for Remote Sensing","created":"2025-03-30","cited_by_count":8,"area":"mllm"},{"id":"2505.14972","title":"Multimodal Cultural Safety: Evaluation Framework and Alignment Strategies","created":"2025-05-20","cited_by_count":8,"area":"mllm"},{"id":"2602.04802","title":"VISTA-Bench: Do Vision-Language Models Really Understand Visualized Text as Well as Pure Text?","created":"2026-02-04","cited_by_count":8,"area":"mllm"},{"id":"2409.19339","title":"Visual Question Decomposition on Multimodal Large Language Models","created":"2024-09-28","cited_by_count":7,"area":"mllm"},{"id":"2501.05884","title":"Text-to-Edit: Controllable End-to-End Video Ad Creation via Multimodal LLMs","created":"2025-01-10","cited_by_count":7,"area":"mllm"},{"id":"2603.01236","title":"AgilePruner: An Empirical Study of Attention and Diversity for Adaptive Visual Token Pruning in Large Vision-Language Models","created":"2026-03-01","cited_by_count":7,"area":"mllm"},{"id":"2503.13440","title":"MaTVLM: Hybrid Mamba-Transformer for Efficient Vision-Language Modeling","created":"2025-03-17","cited_by_count":6,"area":"mllm"},{"id":"2503.20472","title":"From Trial to Triumph: Advancing Long Video Understanding via Visual Context Sample Scaling and Self-reward Alignment","created":"2025-03-26","cited_by_count":6,"area":"mllm"},{"id":"2410.06456","title":"From Generalist to Specialist: Adapting Vision Language Models via Task-Specific Visual Instruction Tuning","created":"2024-10-09","cited_by_count":5,"area":"mllm"},{"id":"2503.16566","title":"REVAL: A Comprehension Evaluation on Reliability and Values of Large Vision-Language Models","created":"2025-03-20","cited_by_count":5,"area":"mllm"},{"id":"2511.13261","title":"Building Egocentric Procedural AI Assistant: Methods, Benchmarks, and Challenges","created":"2025-11-17","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":"2503.19311","title":"DGTRSD & DGTRS-CLIP: A Dual-Granularity Remote Sensing Image-Text Dataset and Vision Language Foundation Model for Alignment","created":"2025-03-25","cited_by_count":4,"area":"mllm"},{"id":"2507.01643","title":"SAILViT: Towards Robust and Generalizable Visual Backbones for MLLMs via Gradual Feature Refinement","created":"2025-07-02","cited_by_count":4,"area":"mllm"},{"id":"2504.05673","title":"VC-LLM: Automated Advertisement Video Creation from Raw Footage using Multi-modal LLMs","created":"2025-04-08","cited_by_count":3,"area":"mllm"},{"id":"2510.00063","title":"AstroMMBench: A Benchmark for Evaluating Multimodal Large Language Models Capabilities in Astronomy","created":"2025-09-29","cited_by_count":3,"area":"mllm"},{"id":"2603.23067","title":"MLLM-HWSI: A Multimodal Large Language Model for Hierarchical Whole Slide Image Understanding","created":"2026-03-24","cited_by_count":3,"area":"mllm"},{"id":"2604.07812","title":"HAWK: Head Importance-Aware Visual Token Pruning in Multimodal Models","created":"2026-04-09","cited_by_count":3,"area":"mllm"},{"id":"2605.30307","title":"Grounded 3D-Aware Spatial Vision-Language Modeling","created":"2026-05-28","cited_by_count":3,"area":"mllm"},{"id":"2411.17794","title":"NEMO: Can Multimodal LLMs Identify Attribute-Modified Objects?","created":"2024-11-26","cited_by_count":2,"area":"mllm"},{"id":"2503.09348","title":"MOAT: Evaluating LMMs for Capability Integration and Instruction Grounding","created":"2025-03-12","cited_by_count":2,"area":"mllm"},{"id":"2505.15816","title":"Streamline Without Sacrifice -- Squeeze out Computation Redundancy in LMM","created":"2025-05-21","cited_by_count":2,"area":"mllm"},{"id":"2506.03928","title":"Vision Remember: Recovering Visual Information in Efficient LVLM with Vision Feature Resampling","created":"2025-06-04","cited_by_count":2,"area":"mllm"},{"id":"2506.16112","title":"AutoV: Loss-Oriented Ranking for Visual Prompt Retrieval in LVLMs","created":"2025-06-19","cited_by_count":2,"area":"mllm"},{"id":"2508.06895","title":"BASIC: Boosting Visual Alignment with Intrinsic Refined Embeddings in Multimodal Large Language Models","created":"2025-08-09","cited_by_count":2,"area":"mllm"},{"id":"2508.17860","title":"AVAM: Universal Training-free Adaptive Visual Anchoring Embedded into Multimodal Large Language Model for Multi-image Question Answering","created":"2025-08-25","cited_by_count":2,"area":"mllm"},{"id":"2509.12278","title":"PATIMT-Bench: A Multi-Scenario Benchmark for Position-Aware Text Image Machine Translation in Large Vision-Language Models","created":"2025-09-14","cited_by_count":2,"area":"mllm"},{"id":"2512.01949","title":"Script: Graph-Structured and Query-Conditioned Semantic Token Pruning for Multimodal Large Language Models","created":"2025-12-01","cited_by_count":2,"area":"mllm"},{"id":"2603.28696","title":"AdaptToken: Entropy-based Adaptive Token Selection for MLLM Long Video Understanding","created":"2026-03-30","cited_by_count":2,"area":"mllm"},{"id":"2512.22226","title":"VideoScaffold: Elastic-Scale Visual Hierarchies for Streaming Video Understanding in MLLMs","created":"2025-12-23","cited_by_count":1,"area":"mllm"},{"id":"2602.07790","title":"MaD-Mix: Multi-Modal Data Mixtures via Latent Space Coupling for Vision-Language Model Training","created":"2026-02-08","cited_by_count":1,"area":"mllm"},{"id":"2603.11220","title":"Frequency-Modulated Visual Restoration for Matryoshka Large Multimodal Models","created":"2026-03-11","cited_by_count":1,"area":"mllm"},{"id":"2604.14044","title":"Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models","created":"2026-04-15","cited_by_count":1,"area":"mllm"},{"id":"2604.15280","title":"Why Do Vision Language Models Struggle To Recognize Human Emotions?","created":"2026-04-16","cited_by_count":1,"area":"mllm"},{"id":"2606.14277","title":"One Layer's Trash is Another Layer's Treasure: Adaptive Layer-wise Visual Token Selection in LVLMs","created":"2026-06-12","cited_by_count":1,"area":"mllm"},{"id":"2606.15821","title":"The Truth Stays in the Family: Enhancing Contextual Grounding via Inherited Truthful Heads in Model Lineages","created":"2026-06-14","cited_by_count":1,"area":"mllm"},{"id":"2503.04592","title":"A Benchmark for Multi-Lingual Vision-Language Learning in Remote Sensing Image Captioning","created":"2025-03-06","cited_by_count":0,"area":"mllm"},{"id":"2509.02659","title":"2nd Place Solution for CVPR2024 E2E Challenge: End-to-End Autonomous Driving Using Vision Language Model","created":"2025-09-02","cited_by_count":0,"area":"mllm"},{"id":"2603.16987","title":"Empirical Recipes for Efficient and Compact Vision-Language Models","created":"2026-03-17","cited_by_count":0,"area":"mllm"},{"id":"2609.32808","title":"Mind the Spike: Mechanisms and Brittleness of Visual Massive Activations in Large Vision-Language Models","created":"2026-09-26","cited_by_count":0,"area":"mllm"}],"next_cursor":null}