{"total":80,"rows":[{"id":"2311.15826","title":"GeoChat: Grounded Large Vision-Language Model for Remote Sensing","created":"2023-11-24","cited_by_count":328,"area":"mllm"},{"id":"2307.15266","title":"RSGPT: A Remote Sensing Vision Language Model and Benchmark","created":"2023-07-28","cited_by_count":207,"area":"mllm"},{"id":"2401.16822","title":"EarthGPT: A Universal Multi-modal Large Language Model for Multi-sensor Image Comprehension in Remote Sensing Domain","created":"2024-01-30","cited_by_count":184,"area":"mllm"},{"id":"2306.11300","title":"RS5M and GeoRSCLIP: A Large Scale Vision-Language Dataset and A Large Vision-Language Model for Remote Sensing","created":"2023-06-20","cited_by_count":151,"area":"mllm"},{"id":"2402.02544","title":"LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model","created":"2024-02-04","cited_by_count":138,"area":"mllm"},{"id":"2406.12384","title":"VRSBench: A Versatile Vision-Language Benchmark Dataset for Remote Sensing Image Understanding","created":"2024-06-18","cited_by_count":121,"area":"mllm"},{"id":"2401.09712","title":"SkyEyeGPT: Unifying Remote Sensing Vision-Language Tasks via Instruction Tuning with Large Language Model","created":"2024-01-18","cited_by_count":113,"area":"mllm"},{"id":"2406.10100","title":"SkySenseGPT: A Fine-Grained Instruction Tuning Dataset and Model for Remote Sensing Vision-Language Understanding","created":"2024-06-14","cited_by_count":104,"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":"2305.05726","title":"Vision-Language Models in Remote Sensing: Current Progress and Future Trends","created":"2023-05-09","cited_by_count":93,"area":"mllm"},{"id":"2412.15190","title":"EarthDial: Turning Multi-sensory Earth Observations to Interactive Dialogues","created":"2024-12-19","cited_by_count":85,"area":"mllm"},{"id":"2312.06960","title":"Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment","created":"2023-12-12","cited_by_count":71,"area":"mllm"},{"id":"2503.23771","title":"XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?","created":"2025-03-31","cited_by_count":51,"area":"mllm"},{"id":"2406.07089","title":"RS-Agent: Automating Remote Sensing Tasks through Intelligent Agent","created":"2024-06-11","cited_by_count":49,"area":"mllm"},{"id":"2505.21375","title":"GeoLLaVA-8K: Scaling Remote-Sensing Multimodal Large Language Models to 8K Resolution","created":"2025-05-27","cited_by_count":44,"area":"mllm"},{"id":"2403.17830","title":"Assessment of Multimodal Large Language Models in Alignment with Human Values","created":"2024-03-26","cited_by_count":36,"area":"mllm"},{"id":"2406.09385","title":"Towards Vision-Language Geo-Foundation Model: A Survey","created":"2024-06-13","cited_by_count":36,"area":"mllm"},{"id":"2505.21089","title":"DisasterM3: A Remote Sensing Vision-Language Dataset for Disaster Damage Assessment and Response","created":"2025-05-27","cited_by_count":36,"area":"mllm"},{"id":"2503.07588","title":"When Large Vision-Language Model Meets Large Remote Sensing Imagery: Coarse-to-Fine Text-Guided Token Pruning","created":"2025-03-10","cited_by_count":35,"area":"mllm"},{"id":"2505.16916","title":"Backdoor Cleaning without External Guidance in MLLM Fine-tuning","created":"2025-05-22","cited_by_count":35,"area":"mllm"},{"id":"2408.17267","title":"UrBench: A Comprehensive Benchmark for Evaluating Large Multimodal Models in Multi-View Urban Scenarios","created":"2024-08-30","cited_by_count":28,"area":"mllm"},{"id":"2406.11193","title":"MMNeuron: Discovering Neuron-Level Domain-Specific Interpretation in Multimodal Large Language Model","created":"2024-06-17","cited_by_count":26,"area":"mllm"},{"id":"2506.05453","title":"MLLM-CL: Continual Learning for Multimodal Large Language Models","created":"2025-06-05","cited_by_count":23,"area":"mllm"},{"id":"2406.17770","title":"MG-LLaVA: Towards Multi-Granularity Visual Instruction Tuning","created":"2024-06-25","cited_by_count":22,"area":"mllm"},{"id":"2306.03932","title":"Q: How to Specialize Large Vision-Language Models to Data-Scarce VQA Tasks? A: Self-Train on Unlabeled Images!","created":"2023-06-06","cited_by_count":19,"area":"mllm"},{"id":"2505.14361","title":"Vision-Language Modeling Meets Remote Sensing: Models, Datasets and Perspectives","created":"2025-05-20","cited_by_count":18,"area":"mllm"},{"id":"2506.01667","title":"EarthMind: Leveraging Cross-Sensor Data for Advanced Earth Observation Interpretation with a Unified Multimodal LLM","created":"2025-06-02","cited_by_count":18,"area":"mllm"},{"id":"2508.07918","title":"RSVLM-QA: A Benchmark Dataset for Remote Sensing Vision Language Model-based Question Answering","created":"2025-08-11","cited_by_count":17,"area":"mllm"},{"id":"2504.03254","title":"SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding","created":"2025-04-04","cited_by_count":16,"area":"mllm"},{"id":"2310.16033","title":"Towards Perceiving Small Visual Details in Zero-shot Visual Question Answering with Multimodal LLMs","created":"2023-10-24","cited_by_count":15,"area":"mllm"},{"id":"2505.02829","title":"LISAT: Language-Instructed Segmentation Assistant for Satellite Imagery","created":"2025-05-05","cited_by_count":13,"area":"mllm"},{"id":"2503.00743","title":"Quality-Driven Curation of Remote Sensing Vision-Language Data via Learned Scoring Models","created":"2025-03-02","cited_by_count":11,"area":"mllm"},{"id":"2406.12479","title":"RS-GPT4V: A Unified Multimodal Instruction-Following Dataset for Remote Sensing Image Understanding","created":"2024-06-18","cited_by_count":10,"area":"mllm"},{"id":"2501.06828","title":"GeoPix: Multi-Modal Large Language Model for Pixel-level Image Understanding in Remote Sensing","created":"2025-01-12","cited_by_count":10,"area":"mllm"},{"id":"2407.20228","title":"FlexAttention for Efficient High-Resolution Vision-Language Models","created":"2024-07-29","cited_by_count":9,"area":"mllm"},{"id":"2602.14201","title":"GeoEyes: On-Demand Visual Focusing for Evidence-Grounded Understanding of Ultra-High-Resolution Remote Sensing Imagery","created":"2026-02-15","cited_by_count":9,"area":"mllm"},{"id":"2506.03189","title":"Continual Learning in Vision-Language Models via Aligned Model Merging","created":"2025-05-30","cited_by_count":8,"area":"mllm"},{"id":"2509.05895","title":"BTCChat: Advancing Remote Sensing Bi-temporal Change Captioning with Multimodal Large Language Model","created":"2025-09-07","cited_by_count":7,"area":"mllm"},{"id":"2512.02517","title":"SkyMoE: A Vision-Language Foundation Model for Enhancing Geospatial Interpretation with Mixture of Experts","created":"2025-12-02","cited_by_count":7,"area":"mllm"},{"id":"2507.22346","title":"DeltaVLM: Interactive Remote Sensing Image Change Analysis via Instruction-guided Difference Perception","created":"2025-07-30","cited_by_count":6,"area":"mllm"},{"id":"2601.17089","title":"GRASP: Guided Region-Aware Sparse Prompting for Adapting MLLMs to Remote Sensing","created":"2026-01-23","cited_by_count":6,"area":"mllm"},{"id":"2411.02733","title":"DDFAV: Remote Sensing Large Vision Language Models Dataset and Evaluation Benchmark","created":"2024-11-05","cited_by_count":5,"area":"mllm"},{"id":"2507.05887","title":"GeoMag: A Vision-Language Model for Pixel-level Fine-Grained Remote Sensing Image Parsing","created":"2025-07-08","cited_by_count":5,"area":"mllm"},{"id":"2511.13259","title":"GeoX-Bench: Benchmarking Cross-View Geo-Localization and Pose Estimation Capabilities of Large Multimodal Models","created":"2025-11-17","cited_by_count":5,"area":"mllm"},{"id":"2508.03127","title":"Landsat30-AU: A Vision-Language Dataset for Australian Landsat Imagery","created":"2025-08-05","cited_by_count":4,"area":"mllm"},{"id":"2411.05826","title":"From Pixels to Prose: Advancing Multi-Modal Language Models for Remote Sensing","created":"2024-11-05","cited_by_count":3,"area":"mllm"},{"id":"2503.15816","title":"A Vision Centric Remote Sensing Benchmark","created":"2025-03-20","cited_by_count":3,"area":"mllm"},{"id":"2511.21272","title":"Co-Training Vision Language Models for Remote Sensing Multi-task Learning","created":"2025-11-26","cited_by_count":3,"area":"mllm"},{"id":"2512.24022","title":"FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing","created":"2025-12-30","cited_by_count":3,"area":"mllm"},{"id":"2603.11804","title":"OSMDA: OpenStreetMap-based Domain Adaptation for Remote Sensing VLMs","created":"2026-03-12","cited_by_count":3,"area":"mllm"},{"id":"2411.01445","title":"A Visual Question Answering Method for SAR Ship: Breaking the Requirement for Multimodal Dataset Construction and Model Fine-Tuning","created":"2024-11-03","cited_by_count":2,"area":"mllm"},{"id":"2411.10857","title":"Large Vision-Language Models for Remote Sensing Visual Question Answering","created":"2024-11-16","cited_by_count":2,"area":"mllm"},{"id":"2504.16433","title":"FrogDogNet: Fourier frequency Retained visual prompt Output Guidance for Domain Generalization of CLIP in Remote Sensing","created":"2025-04-23","cited_by_count":2,"area":"mllm"},{"id":"2506.21863","title":"Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling","created":"2025-06-27","cited_by_count":2,"area":"mllm"},{"id":"2508.10635","title":"ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation","created":"2025-08-14","cited_by_count":2,"area":"mllm"},{"id":"2601.01416","title":"AirSpatialBot: A Spatially-Aware Aerial Agent for Fine-Grained Vehicle Attribute Recognization and Retrieval","created":"2026-01-04","cited_by_count":2,"area":"mllm"},{"id":"2602.22601","title":"$\\phi$-DPO: Fairness Direct Preference Optimization Approach to Continual Learning in Large Multimodal Models","created":"2026-02-26","cited_by_count":2,"area":"mllm"},{"id":"2604.17243","title":"RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation","created":"2026-04-19","cited_by_count":2,"area":"mllm"},{"id":"2410.17283","title":"Advancements in Visual Language Models for Remote Sensing: Datasets, Capabilities, and Enhancement Techniques","created":"2024-10-15","cited_by_count":1,"area":"mllm"},{"id":"2411.06074","title":"Aquila: A Hierarchically Aligned Visual-Language Model for Enhanced Remote Sensing Image Comprehension","created":"2024-11-09","cited_by_count":1,"area":"mllm"},{"id":"2501.14905","title":"Measuring and Mitigating Hallucinations in Vision-Language Dataset Generation for Remote Sensing","created":"2025-01-24","cited_by_count":1,"area":"mllm"},{"id":"2510.24242","title":"Enabling Near-realtime Remote Sensing via Satellite-Ground Collaboration of Large Vision-Language Models","created":"2025-10-28","cited_by_count":1,"area":"mllm"},{"id":"2512.02505","title":"GeoDiT: A Diffusion-based Vision-Language Model for Geospatial Understanding","created":"2025-12-02","cited_by_count":1,"area":"mllm"},{"id":"2512.03558","title":"CartoMapQA: A Fundamental Benchmark Dataset Evaluating Vision-Language Models on Cartographic Map Understanding","created":"2025-12-03","cited_by_count":1,"area":"mllm"},{"id":"2601.13839","title":"DisasterVQA: A Visual Question Answering Benchmark Dataset for Disaster Scenes","created":"2026-01-20","cited_by_count":1,"area":"mllm"},{"id":"2603.25565","title":"GeoHeight-Bench: Towards Height-Aware Multimodal Reasoning in Remote Sensing","created":"2026-03-26","cited_by_count":1,"area":"mllm"},{"id":"2605.07562","title":"Beyond GSD-as-Token: Continuous Scale Conditioning for Remote Sensing VLMs","created":"2026-05-08","cited_by_count":1,"area":"mllm"},{"id":"2605.12237","title":"UHR-Micro: Diagnosing and Mitigating the Resolution Illusion in Earth Observation VLMs","created":"2026-05-12","cited_by_count":1,"area":"mllm"},{"id":"2605.30126","title":"PARCEL: Pool-Anchored Resampling with Conditioned Elastic Queries for Efficient Vision-Language Understanding","created":"2026-05-28","cited_by_count":1,"area":"mllm"},{"id":"2606.17020","title":"FusionRS: A Large-Scale RGB-Infrared-Style Remote Sensing Dataset for Cross-Modal Vision-Language Learning","created":"2026-06-15","cited_by_count":1,"area":"mllm"},{"id":"2512.08881","title":"SATGround: A Spatially-Aware Approach for Visual Grounding in Remote Sensing","created":"2025-12-09","cited_by_count":0,"area":"mllm"},{"id":"2605.16353","title":"StrLoRA: Towards Streaming Continual Visual Instruction Tuning for MLLMs","created":"2026-05-08","cited_by_count":0,"area":"mllm"},{"id":"2605.17949","title":"SkyNative: A Native Multimodal Architecture for Remote Sensing Vision-Language Understanding","created":"2026-05-18","cited_by_count":0,"area":"mllm"},{"id":"2606.16256","title":"KeepLoRA++: Continual Learning with Layer-Scaled Residual Gradient Adaptation","created":"2026-06-15","cited_by_count":0,"area":"mllm"},{"id":"2607.10308","title":"Generalize LMMs to Versatile Visual Modalities via Fabricated Modality Synthesis","created":"2026-07-11","cited_by_count":0,"area":"mllm"},{"id":"2607.20284","title":"Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose?","created":"2026-07-22","cited_by_count":0,"area":"mllm"},{"id":"2607.20511","title":"SiGMA: Sign-Guided Merging and Adaptation for Multimodal Continual Instruction Tuning","created":"2026-07-05","cited_by_count":0,"area":"mllm"},{"id":"2607.22205","title":"Filling Before Advancing: Capability-Gap-Driven Post-Training for Scenario-Specialized Remote Sensing MLLMs","created":"2026-07-24","cited_by_count":0,"area":"mllm"},{"id":"2607.24810","title":"RRS-10K: A Multitask Vision-Language Model Benchmark for Rare Remote Sensing Image Interpretation","created":"2026-07-13","cited_by_count":0,"area":"mllm"},{"id":"2607.26947","title":"Progressive Multimodal Alignment for Continual Instruction Tuning","created":"2026-07-29","cited_by_count":0,"area":"mllm"}],"next_cursor":null}