Skip to content

Translation in progress Some entries still include text in the original language.

Oct 13 · Tuesday

All papers

Found 1 paper
Filter5

System type

Models and APIs16AI Agent1coding agent0science agent0

Layer

Prompt layer3Model layer5Application layer21Training and data layer1

System component

Fine-tuning and open weights4Vision1
Select any value within a category; different categories must all match. Counts include the other filters you have selected.Another 227papers have no tags yet and are not included in filtered results.
System type：AI AgentSystem type：coding agentSystem type：science agentLayer：Training and data layerSystem component：VisionClear all

Another 227papers do not have category tags yet and are not included in filtered results.

  1. DefensesarXiv 2610.04616

    PerturBot 用扰动训练打破视觉-语言-动作模型的模态捷径

    提出 Perturbot 扰动训练，打破 VLA 的模态捷径

    arXiv
    2610.04616
    Published
    Layer
    Training and data layer
    Setting
    Embodied systems and robotics
    Evaluated models
    π0.5
    AbstractPerturbot 改训练数据以削弱三类模态捷径，GroundFscore 用来看成功是否来自任务证据。

    Perturbot 是一套不改推理的 VLA 训练期数据干预，用来削弱模态捷径，并用离线分数区分“任务变好”和“靠捷径变好”。

    Paper analysisRead analysis
You have reached the end