{"total":101,"rows":[{"id":"2306.13394","title":"MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models","created":"2023-06-23","cited_by_count":1652,"area":"mllm"},{"id":"2311.12793","title":"ShareGPT4V: Improving Large Multi-Modal Models with Better Captions","created":"2023-11-21","cited_by_count":1005,"area":"mllm"},{"id":"2401.14159","title":"Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks","created":"2024-01-25","cited_by_count":929,"area":"wm"},{"id":"2403.20330","title":"Are We on the Right Way for Evaluating Large Vision-Language Models?","created":"2024-03-29","cited_by_count":914,"area":"mllm"},{"id":"2306.13549","title":"A Survey on Multimodal Large Language Models","created":"2023-06-23","cited_by_count":909,"area":"mllm"},{"id":"2312.07533","title":"VILA: On Pre-training for Visual Language Models","created":"2023-12-12","cited_by_count":692,"area":"mllm"},{"id":"2307.06435","title":"A Comprehensive Overview of Large Language Models","created":"2023-07-12","cited_by_count":648,"area":null},{"id":"2311.08046","title":"Chat-UniVi: Unified Visual Representation Empowers Large Language Models with Image and Video Understanding","created":"2023-11-14","cited_by_count":371,"area":null},{"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":"2309.15112","title":"InternLM-XComposer: A Vision-Language Large Model for Advanced Text-image Comprehension and Composition","created":"2023-09-26","cited_by_count":297,"area":null},{"id":"2403.16999","title":"Visual CoT: Advancing Multi-Modal Language Models with a Comprehensive Dataset and Benchmark for Chain-of-Thought Reasoning","created":"2024-03-25","cited_by_count":280,"area":"lr"},{"id":"2309.10020","title":"Multimodal Foundation Models: From Specialists to General-Purpose Assistants","created":"2023-09-18","cited_by_count":247,"area":null},{"id":"2309.11751","title":"How Robust is Google's Bard to Adversarial Image Attacks?","created":"2023-09-21","cited_by_count":183,"area":"mllm"},{"id":"2309.07915","title":"MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning","created":"2023-09-14","cited_by_count":172,"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":"2403.03003","title":"Feast Your Eyes: Mixture-of-Resolution Adaptation for Multimodal Large Language Models","created":"2024-03-05","cited_by_count":113,"area":"mllm"},{"id":"2309.11419","title":"KOSMOS-2.5: A Multimodal Literate Model","created":"2023-09-20","cited_by_count":96,"area":null},{"id":"2405.10739","title":"Efficient Multimodal Large Language Models: A Survey","created":"2024-05-17","cited_by_count":96,"area":"mllm"},{"id":"2311.16208","title":"InstructMol: Multi-Modal Integration for Building a Versatile and Reliable Molecular Assistant in Drug Discovery","created":"2023-11-27","cited_by_count":86,"area":null},{"id":"2309.00916","title":"BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing","created":"2023-09-02","cited_by_count":79,"area":"synth"},{"id":"2411.17040","title":"Multimodal Alignment and Fusion: A Survey","created":"2024-11-26","cited_by_count":74,"area":null},{"id":"2509.01563","title":"Kwai Keye-VL 1.5 Technical Report","created":"2025-09-01","cited_by_count":73,"area":"mllm"},{"id":"2404.07214","title":"Exploring the Frontier of Vision-Language Models: A Survey of Current Methodologies and Future Directions","created":"2024-02-20","cited_by_count":68,"area":"mllm"},{"id":"2404.15736","title":"What Makes Multimodal In-Context Learning Work?","created":"2024-04-24","cited_by_count":56,"area":null},{"id":"2403.01439","title":"Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis","created":"2024-03-03","cited_by_count":53,"area":null},{"id":"2408.08862","title":"Visual Agents as Fast and Slow Thinkers","created":"2024-08-16","cited_by_count":53,"area":"lr"},{"id":"2406.18844","title":"Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift","created":"2024-06-27","cited_by_count":49,"area":"mllm"},{"id":"2507.01949","title":"Kwai Keye-VL Technical Report","created":"2025-07-02","cited_by_count":47,"area":"mllm"},{"id":"2404.06918","title":"HRVDA: High-Resolution Visual Document Assistant","created":"2024-04-10","cited_by_count":37,"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":"2411.05823","title":"FlexCAD: Unified and Versatile Controllable CAD Generation with Fine-tuned Large Language Models","created":"2024-11-05","cited_by_count":34,"area":null},{"id":"2504.04158","title":"JarvisIR: Elevating Autonomous Driving Perception with Intelligent Image Restoration","created":"2025-04-05","cited_by_count":34,"area":"driving"},{"id":"2308.10253","title":"StableLLaVA: Enhanced Visual Instruction Tuning with Synthesized Image-Dialogue Data","created":"2023-08-20","cited_by_count":33,"area":"mllm"},{"id":"2411.02902","title":"Membership Inference Attacks against Large Vision-Language Models","created":"2024-11-05","cited_by_count":33,"area":"mllm"},{"id":"2405.10313","title":"How Far Are We From AGI: Are LLMs All We Need?","created":"2024-05-16","cited_by_count":31,"area":null},{"id":"2312.16602","title":"Visual Instruction Tuning towards General-Purpose Multimodal Model: A Survey","created":"2023-12-27","cited_by_count":29,"area":null},{"id":"2406.16449","title":"Evaluating and Analyzing Relationship Hallucinations in Large Vision-Language Models","created":"2024-06-24","cited_by_count":29,"area":"mllm"},{"id":"2308.06207","title":"Thinking Like an Expert:Multimodal Hypergraph-of-Thought (HoT) Reasoning to boost Foundation Modals","created":"2023-08-11","cited_by_count":24,"area":"lr"},{"id":"2401.11943","title":"Benchmarking Large Multimodal Models against Common Corruptions","created":"2024-01-22","cited_by_count":24,"area":"lr"},{"id":"2403.07874","title":"Beyond Text: Frozen Large Language Models in Visual Signal Comprehension","created":"2024-03-12","cited_by_count":23,"area":null},{"id":"2403.09193","title":"Can We Talk Models Into Seeing the World Differently?","created":"2024-03-14","cited_by_count":23,"area":"mllm"},{"id":"2311.14109","title":"Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training","created":"2023-11-23","cited_by_count":22,"area":"lr"},{"id":"2409.02877","title":"Configurable Foundation Models: Building LLMs from a Modular Perspective","created":"2024-09-04","cited_by_count":22,"area":null},{"id":"2508.21767","title":"UItron: Foundational GUI Agent with Advanced Perception and Planning","created":"2025-08-29","cited_by_count":22,"area":"agents"},{"id":"2405.14974","title":"LOVA3: Learning to Visual Question Answering, Asking and Assessment","created":"2024-05-23","cited_by_count":21,"area":null},{"id":"2407.15087","title":"Navigation Instruction Generation with BEV Perception and Large Language Models","created":"2024-07-21","cited_by_count":21,"area":null},{"id":"2405.05615","title":"Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning","created":"2024-05-09","cited_by_count":20,"area":null},{"id":"2510.01954","title":"Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs","created":"2025-10-02","cited_by_count":20,"area":"mllm"},{"id":"2503.12972","title":"Aligning Vision to Language: Annotation-Free Multimodal Knowledge Graph Construction for Enhanced LLMs Reasoning","created":"2025-03-17","cited_by_count":19,"area":"lr"},{"id":"2306.14895","title":"Large Multimodal Models: Notes on CVPR 2023 Tutorial","created":"2023-06-26","cited_by_count":18,"area":"mllm"},{"id":"2310.09036","title":"MM-BigBench: Evaluating Multimodal Models on Multimodal Content Comprehension Tasks","created":"2023-10-13","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":"2408.04594","title":"Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models","created":"2024-08-08","cited_by_count":17,"area":"mllm"},{"id":"2401.17981","title":"From Training-Free to Adaptive: Empirical Insights into MLLMs' Understanding of Detection Information","created":"2024-01-31","cited_by_count":16,"area":"mllm"},{"id":"2506.24102","title":"DenseWorld-1M: Towards Detailed Dense Grounded Caption in the Real World","created":"2025-06-30","cited_by_count":16,"area":"mllm"},{"id":"2404.11207","title":"Exploring the Transferability of Visual Prompting for Multimodal Large Language Models","created":"2024-04-17","cited_by_count":15,"area":"mllm"},{"id":"2412.05818","title":"SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation","created":"2024-12-08","cited_by_count":15,"area":"mllm"},{"id":"2407.14093","title":"Routing Experts: Learning to Route Dynamic Experts in Multi-modal Large Language Models","created":"2024-07-19","cited_by_count":14,"area":"mllm"},{"id":"2412.02158","title":"Agri-LLaVA: Knowledge-Infused Large Multimodal Assistant on Agricultural Pests and Diseases","created":"2024-12-03","cited_by_count":14,"area":null},{"id":"2503.15024","title":"Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models","created":"2025-03-19","cited_by_count":13,"area":"mllm"},{"id":"2312.06731","title":"Genixer: Empowering Multimodal Large Language Models as a Powerful Data Generator","created":"2023-12-11","cited_by_count":11,"area":"mllm"},{"id":"2412.04317","title":"FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression","created":"2024-12-05","cited_by_count":11,"area":"mllm"},{"id":"2501.00795","title":"Multimodal Large Models Are Effective Action Anticipators","created":"2025-01-01","cited_by_count":10,"area":null},{"id":"2501.19164","title":"Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs","created":"2025-01-31","cited_by_count":9,"area":"mllm"},{"id":"2308.10509","title":"An Examination of the Compositionality of Large Generative Vision-Language Models","created":"2023-08-21","cited_by_count":6,"area":"mllm"},{"id":"2309.01479","title":"Parameter and Computation Efficient Transfer Learning for Vision-Language Pre-trained Models","created":"2023-09-04","cited_by_count":5,"area":"mllm"},{"id":"2410.19925","title":"Improving Multimodal Large Language Models Using Continual Learning","created":"2024-10-25","cited_by_count":5,"area":"mllm"},{"id":"2510.20322","title":"HyperET: Efficient Training in Hyperbolic Space for Multi-modal Large Language Models","created":"2025-10-23","cited_by_count":5,"area":"mllm"},{"id":"2310.04671","title":"Exploring the Potential of Multi-Modal AI for Driving Hazard Prediction","created":"2023-10-07","cited_by_count":4,"area":null},{"id":"2408.06610","title":"CROME: Cross-Modal Adapters for Efficient Multimodal LLM","created":"2024-08-13","cited_by_count":4,"area":"mllm"},{"id":"2409.18996","title":"From Linguistic Giants to Sensory Maestros: A Survey on Cross-Modal Reasoning with Large Language Models","created":"2024-09-19","cited_by_count":4,"area":"lr"},{"id":"2311.17945","title":"Contrastive Vision-Language Alignment Makes Efficient Instruction Learner","created":"2023-11-29","cited_by_count":3,"area":null},{"id":"2401.10712","title":"Q&A Prompts: Discovering Rich Visual Clues through Mining Question-Answer Prompts for VQA requiring Diverse World Knowledge","created":"2024-01-19","cited_by_count":3,"area":"lr"},{"id":"2405.15684","title":"Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for Multimodal Large Language Models","created":"2024-05-24","cited_by_count":3,"area":"mllm"},{"id":"2405.20795","title":"InsightSee: Advancing Multi-agent Vision-Language Models for Enhanced Visual Understanding","created":"2024-05-31","cited_by_count":3,"area":"mllm"},{"id":"2404.00909","title":"Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning","created":"2024-04-01","cited_by_count":2,"area":"lr"},{"id":"2410.17779","title":"ADEM-VL: Adaptive and Embedded Fusion for Efficient Vision-Language Tuning","created":"2024-10-23","cited_by_count":2,"area":null},{"id":"2502.00618","title":"DesCLIP: Robust Continual Learning via General Attribute Descriptions for VLM-Based Visual Recognition","created":"2025-02-02","cited_by_count":2,"area":"mllm"},{"id":"2505.18115","title":"Instructify: Demystifying Metadata to Visual Instruction Tuning Data Conversion","created":"2025-05-23","cited_by_count":2,"area":null},{"id":"2604.17233","title":"Enhancing Zero-shot Personalized Image Aesthetics Assessment with Profile-aware Multimodal LLM","created":"2026-04-19","cited_by_count":2,"area":"mllm"},{"id":"2306.00409","title":"Adapting Pre-trained Language Models to Vision-Language Tasks via Dynamic Visual Prompting","created":"2023-06-01","cited_by_count":1,"area":null},{"id":"2506.17967","title":"Adapting Vision-Language Models for Evaluating World Models","created":"2025-06-22","cited_by_count":1,"area":"wm"},{"id":"2508.15903","title":"VT-LVLM-AR: A Video-Temporal Large Vision-Language Model Adapter for Fine-Grained Action Recognition in Long-Term Videos","created":"2025-08-21","cited_by_count":1,"area":"mllm"},{"id":"2512.05530","title":"MIND: Multi-rationale INtegrated Discriminative Reasoning Framework for Multi-modal Large Models","created":"2025-12-05","cited_by_count":1,"area":"lr"},{"id":"2606.01503","title":"On the Limits of Token Reduction for Efficient Unified Vision Language Training","created":"2026-05-31","cited_by_count":1,"area":"mllm"},{"id":"2310.06594","title":"On the Evaluation and Refinement of Vision-Language Instruction Tuning Datasets","created":"2023-10-10","cited_by_count":0,"area":null},{"id":"2312.03490","title":"PneumoLLM: Harnessing the Power of Large Language Model for Pneumoconiosis Diagnosis","created":"2023-12-06","cited_by_count":0,"area":null},{"id":"2403.15226","title":"Not All Attention is Needed: Parameter and Computation Efficient Transfer Learning for Multi-modal Large Language Models","created":"2024-03-22","cited_by_count":0,"area":"mllm"},{"id":"2407.17813","title":"Enhancing Model Performance: Another Approach to Vision-Language Instruction Tuning","created":"2024-07-25","cited_by_count":0,"area":null},{"id":"2409.07482","title":"VSLLaVA: a pipeline of large multimodal foundation model for industrial vibration signal analysis","created":"2024-09-03","cited_by_count":0,"area":null},{"id":"2411.08840","title":"Multimodal Instruction Tuning with Hybrid State Space Models","created":"2024-11-13","cited_by_count":0,"area":"mllm"},{"id":"2506.01738","title":"STORM: Benchmarking Visual Rating of MLLMs with a Comprehensive Ordinal Regression Dataset","created":"2025-06-02","cited_by_count":0,"area":null},{"id":"2508.06623","title":"ContextGuard-LVLM: Enhancing News Veracity through Fine-grained Cross-modal Contextual Consistency Verification","created":"2025-08-08","cited_by_count":0,"area":null},{"id":"2511.08238","title":"Remodeling Semantic Relationships in Vision-Language Fine-Tuning","created":"2025-11-11","cited_by_count":0,"area":null},{"id":"2512.20674","title":"HyDRA: Hierarchical and Dynamic Rank Adaptation for Mobile Vision Language Model","created":"2025-12-20","cited_by_count":0,"area":"mllm"},{"id":"2604.15703","title":"P3T: Prototypical Point-level Prompt Tuning with Enhanced Generalization for 3D Vision-Language Models","created":"2026-04-17","cited_by_count":0,"area":"mllm"},{"id":"2607.22013","title":"Visual Saliency Steering Distillation for Multimodal Chain-of-Thought Reasoning","created":"2026-07-24","cited_by_count":0,"area":"lr"},{"id":"2608.24935","title":"A Lightweight Multimodal Vision-Language Framework for Early-Stage Anatomical Green Fruit Classification in Commercial Orchards","created":"2026-08-23","cited_by_count":0,"area":null},{"id":"2609.00948","title":"From Terminology to Diagrams: Visual-Instruction Generation for Scientific Diagram Understanding","created":"2026-09-01","cited_by_count":0,"area":"mllm"},{"id":"2610.00973","title":"Concept Driven Domain Adaptation: Finding an Abstract Needle in a Haystack","created":"2026-10-01","cited_by_count":0,"area":null}],"next_cursor":"100"}