{"total":40,"rows":[{"id":"2306.11029","title":"RemoteCLIP: A Vision Language Foundation Model for Remote Sensing","created":"2023-06-19","cited_by_count":363,"area":"mllm"},{"id":"2311.15826","title":"GeoChat: Grounded Large Vision-Language Model for Remote Sensing","created":"2023-11-24","cited_by_count":328,"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":"2406.08394","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":"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":"2403.20271","title":"Draw-and-Understand: Leveraging Visual Prompts to Enable MLLMs to Comprehend What You Want","created":"2024-03-29","cited_by_count":101,"area":"mllm"},{"id":"2411.19325","title":"GEOBench-VLM: Benchmarking Vision-Language Models for Geospatial Tasks","created":"2024-11-28","cited_by_count":51,"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":"2406.09385","title":"Towards Vision-Language Geo-Foundation Model: A Survey","created":"2024-06-13","cited_by_count":36,"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":"2501.09720","title":"A Simple Aerial Detection Baseline of Multimodal Language Models","created":"2025-01-16","cited_by_count":9,"area":"mllm"},{"id":"2502.09598","title":"GAIA: A Global, Multi-modal, Multi-scale Vision-Language Dataset for Remote Sensing Image Analysis","created":"2025-02-13","cited_by_count":7,"area":"mllm"},{"id":"2503.06312","title":"DOFA-CLIP: Multimodal Vision-Language Foundation Models for Earth Observation","created":"2025-03-08","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":"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":"2604.08896","title":"GeoMMBench and GeoMMAgent: Toward Expert-Level Multimodal Intelligence in Geoscience and Remote Sensing","created":"2026-04-10","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":"2509.25654","title":"DescribeEarth: Describe Anything for Remote Sensing Images","created":"2025-09-30","cited_by_count":5,"area":"mllm"},{"id":"2405.10160","title":"PriorCLIP: Visual Prior Guided Vision-Language Model for Remote Sensing Image-Text Retrieval","created":"2024-05-16","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":"2603.02754","title":"Seeing Clearly without Training: Mitigating Hallucinations in Multimodal LLMs for Remote Sensing","created":"2026-03-03","cited_by_count":4,"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":"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":"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":"2602.17799","title":"Enabling Training-Free Text-Based Remote Sensing Segmentation","created":"2026-02-19","cited_by_count":2,"area":"mllm"},{"id":"2603.09566","title":"GeoAlignCLIP: Enhancing Fine-Grained Vision-Language Alignment in Remote Sensing via Multi-Granular Consistency Learning","created":"2026-03-10","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":"2512.14102","title":"Neurosymbolic Inference On Foundation Models For Remote Sensing Text-to-image Retrieval With Complex Queries","created":"2025-12-16","cited_by_count":1,"area":"mllm"},{"id":"2604.11122","title":"Semantic-Geometric Dual Compression: Training-Free Visual Token Reduction for Ultra-High-Resolution Remote Sensing Understanding","created":"2026-04-13","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":"2601.22164","title":"Do Open-Vocabulary Detectors Transfer to Aerial Imagery? A Comparative Evaluation","created":"2026-01-13","cited_by_count":0,"area":"mllm"},{"id":"2606.04282","title":"FindIt: A Format-Informed Visual Detection Benchmark for Generalist Multimodal LLMs","created":"2026-06-02","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"}],"next_cursor":null}