GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision 事件

GeoSolver: Scaling Test-Time Reasoning in Remote Sensing with Fine-Grained Process Supervision arXiv:2603.09551v2 Announce Type: replace Abstract: While Vision-Language Models (VLMs) have significantly advanced remote sensing interpretation, enabling them to perform complex, step-by-step reasoning remains highly challenging. Recent efforts to introduce Chain-of-Thought (CoT) reasoning to this domain have shown promise, yet ensuring the visual faithfulness of these intermediate steps remains a c