{"total":102,"rows":[{"id":"2409.17146","title":"Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models","created":"2024-09-25","cited_by_count":329,"area":"mllm"},{"id":"2412.04468","title":"NVILA: Efficient Frontier Visual Language Models","created":"2024-12-05","cited_by_count":209,"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":"2412.16855","title":"GME: Improving Universal Multimodal Retrieval by Multimodal LLMs","created":"2024-12-22","cited_by_count":170,"area":"mllm"},{"id":"2412.10360","title":"Apollo: An Exploration of Video Understanding in Large Multimodal Models","created":"2024-12-13","cited_by_count":89,"area":"mllm"},{"id":"2412.13303","title":"FastVLM: Efficient Vision Encoding for Vision Language Models","created":"2024-12-17","cited_by_count":77,"area":"mllm"},{"id":"2409.20566","title":"MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning","created":"2024-09-30","cited_by_count":76,"area":"mllm"},{"id":"2503.13111","title":"MM-Spatial: Exploring 3D Spatial Understanding in Multimodal LLMs","created":"2025-03-17","cited_by_count":73,"area":"mllm"},{"id":"2501.14818","title":"Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models","created":"2025-01-20","cited_by_count":70,"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":"2510.17269","title":"FineVision: Open Data Is All You Need","created":"2025-10-20","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":"2502.05177","title":"Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy","created":"2025-02-07","cited_by_count":39,"area":"mllm"},{"id":"2410.10855","title":"Core Knowledge Deficits in Multi-Modal Language Models","created":"2024-10-06","cited_by_count":38,"area":"mllm"},{"id":"2503.06486","title":"PerturboLLaVA: Reducing Multimodal Hallucinations with Perturbative Visual Training","created":"2025-03-09","cited_by_count":38,"area":"mllm"},{"id":"2410.16267","title":"xGen-MM-Vid (BLIP-3-Video): You Only Need 32 Tokens to Represent a Video Even in VLMs","created":"2024-10-21","cited_by_count":34,"area":"mllm"},{"id":"2504.10068","title":"Mavors: Multi-granularity Video Representation for Multimodal Large Language Model","created":"2025-04-14","cited_by_count":32,"area":"mllm"},{"id":"2501.03225","title":"Automated Generation of Challenging Multiple-Choice Questions for Vision Language Model Evaluation","created":"2025-01-06","cited_by_count":30,"area":"mllm"},{"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":"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":"2502.03333","title":"RadVLM: A Multitask Conversational Vision-Language Model for Radiology","created":"2025-02-05","cited_by_count":25,"area":"mllm"},{"id":"2503.13792","title":"Identifying and Mitigating Position Bias of Multi-image Vision-Language Models","created":"2025-03-18","cited_by_count":25,"area":"mllm"},{"id":"2510.11693","title":"Scaling Language-Centric Omnimodal Representation Learning","created":"2025-10-13","cited_by_count":22,"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":"2506.23115","title":"MoCa: Modality-aware Continual Pre-training Makes Better Bidirectional Multimodal Embeddings","created":"2025-06-29","cited_by_count":20,"area":"mllm"},{"id":"2501.05031","title":"ECBench: Can Multi-modal Foundation Models Understand the Egocentric World? A Holistic Embodied Cognition Benchmark","created":"2025-01-09","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":"2503.14604","title":"Image Captioning Evaluation in the Age of Multimodal LLMs: Challenges and Future Perspectives","created":"2025-03-18","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":"2507.15807","title":"True Multimodal In-Context Learning Needs Attention to the Visual Context","created":"2025-07-21","cited_by_count":16,"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":"2507.04741","title":"Vision-Language Models Can't See the Obvious","created":"2025-07-07","cited_by_count":14,"area":"mllm"},{"id":"2509.14033","title":"SAIL-VL2 Technical Report","created":"2025-09-17","cited_by_count":14,"area":"mllm"},{"id":"2501.10057","title":"MSTS: A Multimodal Safety Test Suite for Vision-Language Models","created":"2025-01-17","cited_by_count":12,"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":"2410.04659","title":"ActiView: Evaluating Active Perception Ability for Multimodal Large Language Models","created":"2024-10-07","cited_by_count":11,"area":"mllm"},{"id":"2504.05445","title":"Probing the Visualization Literacy of Vision Language Models: the Good, the Bad, and the Ugly","created":"2025-04-07","cited_by_count":11,"area":"mllm"},{"id":"2509.21029","title":"FORCE: Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction","created":"2025-09-25","cited_by_count":11,"area":"mllm"},{"id":"2505.01050","title":"Transferable Adversarial Attacks on Black-Box Vision-Language Models","created":"2025-05-02","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":"2509.10345","title":"Towards Understanding Visual Grounding in Visual Language Models","created":"2025-09-12","cited_by_count":10,"area":"mllm"},{"id":"2512.08829","title":"InfiniteVL: Synergizing Linear and Sparse Attention for Highly-Efficient, Unlimited-Input Vision-Language Models","created":"2025-12-09","cited_by_count":10,"area":"mllm"},{"id":"2501.00958","title":"2.5 Years in Class: A Multimodal Textbook for Vision-Language Pretraining","created":"2025-01-01","cited_by_count":9,"area":"mllm"},{"id":"2602.21704","title":"Dynamic Multimodal Activation Steering for Hallucination Mitigation in Large Vision-Language Models","created":"2026-02-25","cited_by_count":8,"area":"mllm"},{"id":"2508.20181","title":"Mitigating Hallucinations in Multimodal LLMs via Object-aware Preference Optimization","created":"2025-08-27","cited_by_count":7,"area":"mllm"},{"id":"2411.13317","title":"Teaching VLMs to Localize Specific Objects from In-context Examples","created":"2024-11-20","cited_by_count":6,"area":"mllm"},{"id":"2411.19103","title":"VARCO-VISION: Expanding Frontiers in Korean Vision-Language Models","created":"2024-11-28","cited_by_count":6,"area":"mllm"},{"id":"2503.23730","title":"KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language","created":"2025-03-31","cited_by_count":5,"area":"mllm"},{"id":"2507.11625","title":"MapIQ: Evaluating Multimodal Large Language Models for Map Question Answering","created":"2025-07-15","cited_by_count":5,"area":"mllm"},{"id":"2510.14866","title":"Benchmarking Multimodal Large Language Models for Face Recognition","created":"2025-10-16","cited_by_count":5,"area":"mllm"},{"id":"2411.14062","title":"MMGenBench: Fully Automatically Evaluating LMMs from the Text-to-Image Generation Perspective","created":"2024-11-21","cited_by_count":4,"area":"mllm"},{"id":"2501.12266","title":"CBVLM: Training-free Explainable Concept-based Large Vision Language Models for Medical Image Classification","created":"2025-01-21","cited_by_count":4,"area":"mllm"},{"id":"2503.12149","title":"Seeing Sarcasm Through Different Eyes: Analyzing Multimodal Sarcasm Perception in Large Vision-Language Models","created":"2025-03-15","cited_by_count":4,"area":"mllm"},{"id":"2504.03154","title":"TokenFLEX: Unified VLM Training for Flexible Visual Tokens Inference","created":"2025-04-04","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":"2509.09658","title":"Measuring Epistemic Humility in Multimodal Large Language Models","created":"2025-09-11","cited_by_count":4,"area":"mllm"},{"id":"2509.18174","title":"Baseer: A Vision-Language Model for Arabic Document-to-Markdown OCR","created":"2025-09-17","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":"2511.19032","title":"Diagnosing Corruption-Induced Reliability Failures in Vision-Language Models","created":"2025-11-24","cited_by_count":4,"area":"mllm"},{"id":"2509.21950","title":"Customizing Visual Emotion Evaluation for MLLMs: An Open-vocabulary, Multifaceted, and Scalable Approach","created":"2025-09-26","cited_by_count":3,"area":"mllm"},{"id":"2602.05275","title":"Magic-MM-Embedding: Towards Visual-Token-Efficient Universal Multimodal Embedding with MLLMs","created":"2026-02-05","cited_by_count":3,"area":"mllm"},{"id":"2602.07013","title":"Steering to Say No: Configurable Refusal via Activation Steering in Vision Language Models","created":"2026-01-31","cited_by_count":3,"area":"mllm"},{"id":"2602.19058","title":"Do LLMs and VLMs Share Neurons for Inference? Evidence and Mechanisms of Cross-Modal Transfer","created":"2026-02-22","cited_by_count":3,"area":"mllm"},{"id":"2410.16166","title":"Beyond Filtering: Adaptive Image-Text Quality Enhancement for MLLM Pretraining","created":"2024-10-21","cited_by_count":2,"area":"mllm"},{"id":"2412.04729","title":"Espresso: High Compression For Rich Extraction From Videos for Your Vision-Language Model","created":"2024-12-06","cited_by_count":2,"area":"mllm"},{"id":"2412.09603","title":"Do MLLMs Exhibit Human-like Perceptual Behaviors? HVSBench: A Benchmark for MLLM Alignment with Human Perceptual Behavior","created":"2024-12-12","cited_by_count":2,"area":"mllm"},{"id":"2505.20405","title":"What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models","created":"2025-05-26","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":"2603.19466","title":"ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models","created":"2026-03-19","cited_by_count":2,"area":"mllm"},{"id":"2605.08560","title":"ZAYA1-VL-8B Technical Report","created":"2026-05-08","cited_by_count":2,"area":"mllm"},{"id":"2605.11405","title":"20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone","created":"2026-05-12","cited_by_count":2,"area":"mllm"},{"id":"2606.28551","title":"DataComp-VLM: Improved Open Datasets for Vision-Language Models","created":"2026-06-26","cited_by_count":2,"area":"mllm"},{"id":"2503.12281","title":"Exploration of VLMs for Driver Monitoring Systems Applications","created":"2025-03-15","cited_by_count":1,"area":"mllm"},{"id":"2504.12316","title":"Data Metabolism: An Efficient Data Design Schema For Vision Language Model","created":"2025-04-10","cited_by_count":1,"area":"mllm"},{"id":"2510.21501","title":"GranViT: A Fine-Grained Vision Model With Autoregressive Perception For MLLMs","created":"2025-10-23","cited_by_count":1,"area":"mllm"},{"id":"2512.19535","title":"CASA: Cross-Attention over Self-Attention for Efficient Vision-Language Fusion","created":"2025-12-22","cited_by_count":1,"area":"mllm"},{"id":"2603.25613","title":"Demographic Fairness in Multimodal LLMs: A Benchmark of Gender and Ethnicity Bias in Face Verification","created":"2026-03-26","cited_by_count":1,"area":"mllm"},{"id":"2605.27737","title":"Bounded-Compute Multimodal Regression for Product-Rating Prediction","created":"2026-05-26","cited_by_count":1,"area":"mllm"},{"id":"2504.12315","title":"Capybara-OMNI: An Efficient Paradigm for Building Omni-Modal Language Models","created":"2025-04-10","cited_by_count":0,"area":"mllm"},{"id":"2510.00088","title":"Judging by Appearances? Auditing and Intervening Vision-Language Models for Bail Prediction","created":"2025-09-30","cited_by_count":0,"area":"mllm"},{"id":"2511.23375","title":"Optimizing Multimodal Language Models through Attention-based Interpretability","created":"2025-11-28","cited_by_count":0,"area":"mllm"},{"id":"2601.05125","title":"VERSE: Visual Embedding Reduction and Space Exploration. Clustering-Guided Insights for Training Data Enhancement in Visually-Rich Document Understanding","created":"2026-01-08","cited_by_count":0,"area":"mllm"},{"id":"2602.13289","title":"Evaluating the Impact of Post-Training Quantization on Reliable VQA with Multimodal LLMs","created":"2026-02-08","cited_by_count":0,"area":"mllm"},{"id":"2602.19188","title":"PositionOCR: Augmenting Positional Awareness in Multi-Modal Models via Hybrid Specialist Integration","created":"2026-02-22","cited_by_count":0,"area":"mllm"},{"id":"2603.04453","title":"Induced Numerical Instability: Hidden Costs in Multimodal Large Language Models","created":"2026-02-27","cited_by_count":0,"area":"mllm"},{"id":"2603.07769","title":"MedQ-Deg: A Multidimensional Benchmark for Evaluating MLLMs Across Medical Image Quality Degradations","created":"2026-03-08","cited_by_count":0,"area":"mllm"},{"id":"2604.14363","title":"The Cost of Language: Centroid Erasure Exposes and Exploits Modal Competition in Multimodal Language Models","created":"2026-04-15","cited_by_count":0,"area":"mllm"},{"id":"2605.08145","title":"Self-Captioning Multimodal Interaction Tuning: Amplifying Exploitable Redundancies for Robust Vision Language Models","created":"2026-05-03","cited_by_count":0,"area":"mllm"},{"id":"2606.00390","title":"Zamba2-VL Technical Report","created":"2026-05-29","cited_by_count":0,"area":"mllm"},{"id":"2606.04433","title":"Stateful Visual Encoders for Vision-Language Models","created":"2026-06-03","cited_by_count":0,"area":"mllm"},{"id":"2607.21300","title":"Unlearning Under Imbalance: Benchmarking Fairness in Multimodal LLM Unlearning","created":"2026-07-23","cited_by_count":0,"area":"mllm"},{"id":"2607.26326","title":"Seeing or Knowing? Visual Context Sensitivity in Multimodal Large Language Models","created":"2026-07-28","cited_by_count":0,"area":"mllm"},{"id":"2608.29802","title":"Foundation and Multimodal Large Language Models for Face Presentation and Morph Attack Detection","created":"2026-08-30","cited_by_count":0,"area":"mllm"},{"id":"2608.30653","title":"Fine-Grained Multi Image Object Hallucination Benchmark","created":"2026-08-31","cited_by_count":0,"area":"mllm"},{"id":"2609.11022","title":"New Evidence, Same Choice: Testing Physical Experiment Selection in Vision Language Models","created":"2026-09-10","cited_by_count":0,"area":"mllm"},{"id":"2609.20457","title":"Fingerprinting Multimodal Large Language Models","created":"2026-09-17","cited_by_count":0,"area":"mllm"},{"id":"2609.22008","title":"DiaVLo: Diagnosing Behaviours of Vision-Language Models","created":"2026-09-18","cited_by_count":0,"area":"mllm"},{"id":"2609.27682","title":"Gender Bias in Vision-Language In-Context Learning","created":"2026-09-23","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":"100"}