English(EN) ECHOES: Seeing Beyond the Current Image via Recursive History Compression and Privileged On-Policy Distillation

ECHOES 系统通过历史压缩改进 GUI 代理推理

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 04:00

研究人员推出了一种新颖的方法 ECHOES，以增强 GUI 代理的长期推理能力。该方法利用训练期间可用的特权信息更有效地压缩文本历史，从而降低推理成本并提高可靠性。ECHOES 采用压缩-思考-行动 (CTA) 格式进行递归状态更新和推理，并由提供策略内蒸馏的教师模型指导。还开发了一个新的基准 ECHOESBMK，专门用于评估 GUI 代理的视觉感知和跨模态状态保持能力。 AI

影响增强 GUI 代理的长期推理能力，可能降低复杂任务的成本并提高性能。

排序理由该集群包含一篇详细介绍 AI 研究新方法和基准的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.AI 阅读 →

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报道来源 [1]

arXiv cs.AI TIER_1 English(EN) · Tengda Guo (Tsinghua University), Jiawang Hu (StepFun), Yifei Tao (Nanyang Technological University), Yin Wang (StepFun), Haotian Hu (Zhejiang Leapmotor Technology Co., Ltd), Fanyi Wang (Honor), Liujuan Tang (StepFun) · 2026-10-19 04:00

ECHOES：通过递归历史压缩和特权策略内蒸馏实现超越当前图像的视觉

arXiv:2610.22408v1 Announce Type: new Abstract: Long-horizon GUI agents rely on visual history to maintain task states, but retaining historical screenshots increases visual-token usage and inference costs, while textual summaries can discard critical state information, undermini…

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报道来源 [1]

ECHOES：通过递归历史压缩和特权策略内蒸馏实现超越当前图像的视觉

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