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English(EN) GeoForge: Non-Parametric Self-Evolving Agents for Earth-Observation Reasoning

GeoForge框架增强地球观测智能体的推理能力

作者 PulseAugur 编辑部 · [2 个来源] ·

研究人员推出GeoForge，一个旨在增强地球观测（EO）智能体推理能力的新型框架。该训练免费系统通过将已完成的工具使用轨迹转化为可重用知识来实现自演化，从而在不改变核心LLM的情况下改进规划。GeoForge利用三个记忆组件——工作流图记忆、动作级经验和适应性技能标准操作程序——来约束操作空间并指导工具执行，从而提高地理空间基准测试的准确性并减少错误。 AI

影响 增强了AI智能体在地球观测等专业领域的规划和推理能力。

排序理由 该集群描述了一篇详细介绍AI智能体新框架的研究论文。

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →

GeoForge框架增强地球观测智能体的推理能力

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报道来源 [2]

  1. arXiv cs.AI TIER_1 English(EN) · Xin Xiao, Jiang Zhong, Junnan Zhu, Yingchao Feng, Peijin Wang, Yidan Zhang, Kaiwen Wei ·

    GeoForge：用于地球观测推理的非参数自演化代理

    arXiv:2608.10494v1 Announce Type: new Abstract: Earth observation (EO) agents construct scientifically valid tool workflows and ground their conclusions in current geospatial evidence. This is challenging because EO workflows are constrained by sensing semantics, product dependen…

  2. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Kaiwen Wei ·

    GeoForge：用于地球观测推理的非参数自演化代理

    Earth observation (EO) agents construct scientifically valid tool workflows and ground their conclusions in current geospatial evidence. This is challenging because EO workflows are constrained by sensing semantics, product dependencies, spatial and temporal compatibility, and pa…

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