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Author

Kai-Wen Wei

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Review Open access Sep 2026

RingMoClaw: An Experience-Inspired Multi-Agent Framework for Self-Evolving Research in Remote Sensing

RingMoClaw is proposed, an experience-inspired self-evolving multi-agent framework for remote sensing visual interpretation that offers a feasible route from task execution toward continuous research driven model evolution in remote sensing.

Kai-Yue Kang, Qi-Xuan He, Pei-Jin Wang et al. · 2 citations
Preprint Aug 2026

GeoForge: Non-Parametric Self-Evolving Agents for Earth-Observation Reasoning

GeoForge is a training-free, self-evolving framework that transforms completed trajectories into a structured nonparametric execution state, and consistently improves both task accuracy and tool-use trajectory quality across diverse LLM backbones, while substantially reducing tool-planning and reasoning errors for most...

Xin Xiao, Jiang Zhong, Jun-Nan Zhu et al. · 1 citation

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