{"total":20,"rows":[{"id":"2411.18145","title":"CHOICE: Benchmarking the Remote Sensing Capabilities of Large Vision-Language Models","created":"2024-11-27","cited_by_count":22,"area":"lr"},{"id":"2503.04543","title":"Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model","created":"2025-03-06","cited_by_count":16,"area":"lr"},{"id":"2511.22645","title":"GeoZero: Incentivizing Reasoning from Scratch on Geospatial Scenes","created":"2025-11-27","cited_by_count":14,"area":"lr"},{"id":"2512.17319","title":"A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs","created":"2025-12-19","cited_by_count":11,"area":"lr"},{"id":"2511.22396","title":"Asking like Socrates: Socrates helps VLMs understand remote sensing images","created":"2025-11-27","cited_by_count":6,"area":"lr"},{"id":"2602.07045","title":"VLRS-Bench: A Vision-Language Reasoning Benchmark for Remote Sensing","created":"2026-02-04","cited_by_count":6,"area":"lr"},{"id":"2606.10819","title":"Earth-OneVision: Extending Remote Sensing Multimodal Large Language Models to More Sensor Modalities and Tasks","created":"2026-06-09","cited_by_count":4,"area":"lr"},{"id":"2603.09471","title":"OmniEarth: A Benchmark for Evaluating Vision-Language Models in Geospatial Tasks","created":"2026-03-10","cited_by_count":3,"area":"lr"},{"id":"2401.02187","title":"Location Aware Modular Biencoder for Tourism Question Answering","created":"2024-01-04","cited_by_count":2,"area":"lr"},{"id":"2511.19557","title":"Think First, Assign Next (ThiFAN-VQA): A Two-stage Chain-of-Thought Framework for Post-Disaster Damage Assessment","created":"2025-11-24","cited_by_count":1,"area":"lr"},{"id":"2512.07276","title":"Geo3DVQA: Evaluating Vision-Language Models for 3D Geospatial Reasoning from Aerial Imagery","created":"2025-12-08","cited_by_count":1,"area":"lr"},{"id":"2605.20006","title":"GeoX: Mastering Geospatial Reasoning Through Self-Play and Verifiable Rewards","created":"2026-05-19","cited_by_count":1,"area":"lr"},{"id":"2604.17504","title":"RS-HyRe-R1: A Hybrid Reward Mechanism to Overcome Perceptual Inertia for Remote Sensing Images Understanding","created":"2026-04-19","cited_by_count":0,"area":"lr"},{"id":"2604.20190","title":"WildFireVQA: A Large-Scale Radiometric Thermal VQA Benchmark for Aerial Wildfire Monitoring","created":"2026-04-22","cited_by_count":0,"area":"lr"},{"id":"2605.27590","title":"ForestHG-Trace: Traceable Long-Horizon Ecological Reasoning over Large-Scale Forest Scenes","created":"2026-05-26","cited_by_count":0,"area":"lr"},{"id":"2606.31467","title":"AeroVerse-SatAgent: UAV-Satellite Collaborative Spatial Reasoning Inspired by the Dual Visual Pathway Theory of Cognitive Neuroscience","created":"2026-06-30","cited_by_count":0,"area":"lr"},{"id":"2609.32813","title":"USAI-Quant: A Quantitative Reasoning Benchmark for Vision-Language Models in Built Environments","created":"2026-09-26","cited_by_count":0,"area":"lr"},{"id":"2610.12517","title":"TerraAgent: Demonstration-Grounded Multi-Agent Reasoning for Long-Context Remote Sensing Visual Question Answering","created":"2026-10-07","cited_by_count":0,"area":"lr"},{"id":"2610.18369","title":"Hallucination-aware Faithful Reasoning in Remote Sensing","created":"2026-10-13","cited_by_count":0,"area":"lr"},{"id":"2610.18388","title":"ReDiS: Reasoning-Diagnosis Self-Evolution for Multimodal Reasoning in Remote Sensing","created":"2026-10-13","cited_by_count":0,"area":"lr"}],"next_cursor":null}