{"total":112,"rows":[{"id":"2310.03744","title":"Improved Baselines with Visual Instruction Tuning","created":"2023-10-05","cited_by_count":4418,"area":"mllm"},{"id":"2312.14238","title":"InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks","created":"2023-12-21","cited_by_count":2565,"area":"mllm"},{"id":"2408.01800","title":"MiniCPM-V: A GPT-4V Level MLLM on Your Phone","created":"2024-08-03","cited_by_count":1079,"area":"mllm"},{"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":"2309.05519","title":"NExT-GPT: Any-to-Any Multimodal LLM","created":"2023-09-11","cited_by_count":615,"area":"mllm"},{"id":"2311.04257","title":"mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration","created":"2023-11-07","cited_by_count":547,"area":"mllm"},{"id":"2311.06607","title":"Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models","created":"2023-11-11","cited_by_count":357,"area":"mllm"},{"id":"2401.15947","title":"MoE-LLaVA: Mixture of Experts for Large Vision-Language Models","created":"2024-01-29","cited_by_count":300,"area":"mllm"},{"id":"2401.13601","title":"MM-LLMs: Recent Advances in MultiModal Large Language Models","created":"2024-01-24","cited_by_count":278,"area":"mllm"},{"id":"2403.09611","title":"MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training","created":"2024-03-14","cited_by_count":232,"area":"mllm"},{"id":"2412.04468","title":"NVILA: Efficient Frontier Visual Language Models","created":"2024-12-05","cited_by_count":209,"area":"mllm"},{"id":"2312.06742","title":"Honeybee: Locality-enhanced Projector for Multimodal LLM","created":"2023-12-11","cited_by_count":197,"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":"2402.14289","title":"TinyLLaVA: A Framework of Small-scale Large Multimodal Models","created":"2024-02-22","cited_by_count":164,"area":"mllm"},{"id":"2406.13642","title":"SpatialBot: Precise Spatial Understanding with Vision Language Models","created":"2024-06-19","cited_by_count":152,"area":"mllm"},{"id":"2402.12451","title":"The Revolution of Multimodal Large Language Models: A Survey","created":"2024-02-19","cited_by_count":137,"area":"mllm"},{"id":"2410.02712","title":"LLaVA-Critic: Learning to Evaluate Multimodal Models","created":"2024-10-03","cited_by_count":134,"area":"mllm"},{"id":"2312.10665","title":"Silkie: Preference Distillation for Large Visual Language Models","created":"2023-12-17","cited_by_count":130,"area":"mllm"},{"id":"2312.00438","title":"Dolphins: Multimodal Language Model for Driving","created":"2023-12-01","cited_by_count":124,"area":"mllm"},{"id":"2402.11530","title":"Efficient Multimodal Learning from Data-centric Perspective","created":"2024-02-18","cited_by_count":122,"area":"mllm"},{"id":"2408.08872","title":"xGen-MM (BLIP-3): A Family of Open Large Multimodal Models","created":"2024-08-16","cited_by_count":116,"area":"mllm"},{"id":"2312.12379","title":"Mixture of Cluster-conditional LoRA Experts for Vision-language Instruction Tuning","created":"2023-12-19","cited_by_count":106,"area":"mllm"},{"id":"2405.10739","title":"Efficient Multimodal Large Language Models: A Survey","created":"2024-05-17","cited_by_count":96,"area":"mllm"},{"id":"2406.11832","title":"Unveiling Encoder-Free Vision-Language Models","created":"2024-06-17","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":"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":"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":"2406.08487","title":"Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models","created":"2024-06-12","cited_by_count":76,"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":"2402.16846","title":"GROUNDHOG: Grounding Large Language Models to Holistic Segmentation","created":"2024-02-26","cited_by_count":70,"area":"mllm"},{"id":"2308.12067","title":"MM-LIMA: Less Is More for Alignment in Multi-Modal Datasets","created":"2023-08-23","cited_by_count":61,"area":"mllm"},{"id":"2410.09421","title":"VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment","created":"2024-10-12","cited_by_count":58,"area":"mllm"},{"id":"2311.16479","title":"Mitigating Hallucination in Visual Language Models with Visual Supervision","created":"2023-11-27","cited_by_count":49,"area":"mllm"},{"id":"2503.04130","title":"STORM: Token-Efficient Long Video Understanding for Multimodal LLMs","created":"2025-03-06","cited_by_count":49,"area":"mllm"},{"id":"2408.15881","title":"LLaVA-MoD: Making LLaVA Tiny via MoE Knowledge Distillation","created":"2024-08-28","cited_by_count":45,"area":"mllm"},{"id":"2405.16919","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","created":"2024-05-27","cited_by_count":43,"area":"mllm"},{"id":"2402.08577","title":"Test-Time Backdoor Attacks on Multimodal Large Language Models","created":"2024-02-13","cited_by_count":40,"area":"mllm"},{"id":"2402.15896","title":"Multimodal Instruction Tuning with Conditional Mixture of LoRA","created":"2024-02-24","cited_by_count":36,"area":"mllm"},{"id":"2310.01779","title":"HallE-Control: Controlling Object Hallucination in Large Multimodal Models","created":"2023-10-03","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":"2406.10638","title":"Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly","created":"2024-06-15","cited_by_count":30,"area":"mllm"},{"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":"2407.17453","title":"VILA$^2$: VILA Augmented VILA","created":"2024-07-24","cited_by_count":25,"area":"mllm"},{"id":"2411.10640","title":"BlueLM-V-3B: Algorithm and System Co-Design for Multimodal Large Language Models on Mobile Devices","created":"2024-11-16","cited_by_count":25,"area":"mllm"},{"id":"2412.03665","title":"Personalizing Multimodal Large Language Models for Image Captioning: An Experimental Analysis","created":"2024-12-04","cited_by_count":23,"area":"mllm"},{"id":"2411.02564","title":"Continual LLaVA: Continual Instruction Tuning in Large Vision-Language Models","created":"2024-11-04","cited_by_count":22,"area":"mllm"},{"id":"2403.13447","title":"HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models","created":"2024-03-20","cited_by_count":20,"area":"mllm"},{"id":"2503.13026","title":"HiMTok: Learning Hierarchical Mask Tokens for Image Segmentation with Large Multimodal Model","created":"2025-03-17","cited_by_count":20,"area":"mllm"},{"id":"2410.17250","title":"JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation","created":"2024-10-22","cited_by_count":19,"area":"mllm"},{"id":"2411.13949","title":"SMoLoRA: Exploring and Defying Dual Catastrophic Forgetting in Continual Visual Instruction Tuning","created":"2024-11-21","cited_by_count":19,"area":"mllm"},{"id":"2403.11299","title":"SQ-LLaVA: Self-Questioning for Large Vision-Language Assistant","created":"2024-03-17","cited_by_count":18,"area":"mllm"},{"id":"2510.14979","title":"From Pixels to Words -- Towards Native Vision-Language Primitives at Scale","created":"2025-10-16","cited_by_count":18,"area":"mllm"},{"id":"2311.08172","title":"Vision-Language Instruction Tuning: A Review and Analysis","created":"2023-11-14","cited_by_count":17,"area":"mllm"},{"id":"2312.05278","title":"Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual Objects","created":"2023-12-08","cited_by_count":17,"area":"mllm"},{"id":"2404.04514","title":"Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models","created":"2024-04-06","cited_by_count":17,"area":"mllm"},{"id":"2412.17759","title":"Survey of Large Multimodal Model Datasets, Application Categories and Taxonomy","created":"2024-12-23","cited_by_count":17,"area":"mllm"},{"id":"2403.09072","title":"UniCode: Learning a Unified Codebook for Multimodal Large Language Models","created":"2024-03-14","cited_by_count":14,"area":"mllm"},{"id":"2403.20331","title":"Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models","created":"2024-03-29","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":"2407.11422","title":"Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models","created":"2024-07-16","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":"2406.19905","title":"Solving Token Gradient Conflict in Mixture-of-Experts for Large Vision-Language Model","created":"2024-06-28","cited_by_count":11,"area":"mllm"},{"id":"2501.04322","title":"Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts","created":"2025-01-08","cited_by_count":11,"area":"mllm"},{"id":"2412.06293","title":"Mastering Collaborative Multi-modal Data Selection: A Focus on Informativeness, Uniqueness, and Representativeness","created":"2024-12-09","cited_by_count":10,"area":"mllm"},{"id":"2310.08166","title":"Ziya-Visual: Bilingual Large Vision-Language Model via Multi-Task Instruction Tuning","created":"2023-10-12","cited_by_count":9,"area":"mllm"},{"id":"2403.12801","title":"RelationVLM: Making Large Vision-Language Models Understand Visual Relations","created":"2024-03-19","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":"2406.00977","title":"Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language Models","created":"2024-06-03","cited_by_count":8,"area":"mllm"},{"id":"2409.09564","title":"TG-LLaVA: Text Guided LLaVA via Learnable Latent Embeddings","created":"2024-09-15","cited_by_count":8,"area":"mllm"},{"id":"2411.03034","title":"HumanVLM: Foundation for Human-Scene Vision-Language Model","created":"2024-11-05","cited_by_count":8,"area":"mllm"},{"id":"2412.04903","title":"EACO: Enhancing Alignment in Multimodal LLMs via Critical Observation","created":"2024-12-06","cited_by_count":8,"area":"mllm"},{"id":"2402.03173","title":"MULTI: Multimodal Understanding Leaderboard with Text and Images","created":"2024-02-05","cited_by_count":7,"area":"mllm"},{"id":"2407.00102","title":"Curriculum Learning with Quality-Driven Data Selection","created":"2024-06-27","cited_by_count":7,"area":"mllm"},{"id":"2410.06777","title":"HERM: Benchmarking and Enhancing Multimodal LLMs for Human-Centric Understanding","created":"2024-10-09","cited_by_count":7,"area":"mllm"},{"id":"2504.16727","title":"Unveiling the Lack of LVLM Robustness to Fundamental Visual Variations: Why and Path Forward","created":"2025-04-23","cited_by_count":7,"area":"mllm"},{"id":"2505.17726","title":"Slot-MLLM: Object-Centric Visual Tokenization for Multimodal LLM","created":"2025-05-23","cited_by_count":7,"area":"mllm"},{"id":"2407.11522","title":"FIRE: A Dataset for Feedback Integration and Refinement Evaluation of Multimodal Models","created":"2024-07-16","cited_by_count":6,"area":"mllm"},{"id":"2412.17417","title":"Synth-Align: Improving Trustworthiness in Vision-Language Model with Synthetic Preference Data Alignment","created":"2024-12-23","cited_by_count":6,"area":"mllm"},{"id":"2508.03469","title":"IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models","created":"2025-08-05","cited_by_count":6,"area":"mllm"},{"id":"2412.01289","title":"Enhancing Perception Capabilities of Multimodal LLMs with Training-Free Fusion","created":"2024-12-02","cited_by_count":5,"area":"mllm"},{"id":"2505.13946","title":"Visual Instruction Bottleneck Tuning","created":"2025-05-20","cited_by_count":5,"area":"mllm"},{"id":"2505.23830","title":"EvoMoE: Expert Evolution in Mixture of Experts for Multimodal Large Language Models","created":"2025-05-28","cited_by_count":5,"area":"mllm"},{"id":"2508.14264","title":"Directed-Tokens: A Robust Multi-Modality Alignment Approach to Large Language-Vision Models","created":"2025-08-19","cited_by_count":5,"area":"mllm"},{"id":"2602.11636","title":"ScalSelect: Scalable Training-Free Multimodal Data Selection for Efficient Visual Instruction Tuning","created":"2026-02-12","cited_by_count":5,"area":"mllm"},{"id":"2403.04343","title":"Adaptive Task Balancing for Visual Instruction Tuning via Inter-Task Contribution and Intra-Task Difficulty","created":"2024-03-07","cited_by_count":4,"area":"mllm"},{"id":"2406.11262","title":"Generative Visual Instruction Tuning","created":"2024-06-17","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":"2401.08968","title":"COCO is \"ALL'' You Need for Visual Instruction Fine-tuning","created":"2024-01-17","cited_by_count":3,"area":"mllm"},{"id":"2506.06406","title":"SMAR: Soft Modality-Aware Routing Strategy for MoE-based Multimodal Large Language Models Preserving Language Capabilities","created":"2025-06-06","cited_by_count":3,"area":"mllm"},{"id":"2507.13089","title":"GLAD: Generalizable Tuning for Vision-Language Models","created":"2025-07-17","cited_by_count":3,"area":"mllm"},{"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":"2510.16448","title":"Input Domain Aware MoE: Decoupling Routing Decisions from Task Optimization in Mixture of Experts","created":"2025-10-18","cited_by_count":3,"area":"mllm"},{"id":"2501.02584","title":"Efficient Architectures for High Resolution Vision-Language Models","created":"2025-01-05","cited_by_count":2,"area":"mllm"},{"id":"2508.04453","title":"Boosting Visual Knowledge-Intensive Training for LVLMs Through Causality-Driven Visual Object Completion","created":"2025-08-06","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":"2412.18387","title":"Scaling Capability in Token Space: An Analysis of Large Vision Language Model","created":"2024-12-24","cited_by_count":1,"area":"mllm"},{"id":"2502.07905","title":"DeepSeek on a Trip: Inducing Targeted Visual Hallucinations via Representation Vulnerabilities","created":"2025-02-11","cited_by_count":1,"area":"mllm"},{"id":"2502.11427","title":"Do we Really Need Visual Instructions? Towards Visual Instruction-Free Fine-tuning for Large Vision-Language Models","created":"2025-02-17","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":"2506.14435","title":"MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models","created":"2025-06-17","cited_by_count":1,"area":"mllm"}],"next_cursor":"100"}