AI RESEARCH
ThinkGeo: Evaluating Tool-Augmented Agents for Remote Sensing Tasks
arXiv CS.CV
•
ArXi:2505.23752v3 Announce Type: replace Recent progress in large language models (LLMs) has enabled tool-augmented agents capable of solving complex real-world tasks through step-by-step reasoning. However, existing evaluations often focus on general-purpose or multimodal scenarios, leaving a gap in domain-specific benchmarks that assess tool-use capabilities in complex remote sensing use cases. We present ThinkGeo, an agentic benchmark designed to evaluate LLM-driven agents on remote sensing tasks via structured tool use and multi-step planning.