Sharon Li
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The paper introduces Synthesis Data Reversion (SDR), a method that infers the data laundering transformation used in LLM training and synthesizes queries to restore the detection signals lost when proprietary data is obfuscated.
The paper proposes Hide-and-Seek, a novel framework that localizes failure signals in VLA model execution by treating failure detection as a coarsely supervised learning problem using contrastive objectives.
Papers
Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
Seongheon Park, Wendi Li, Changdae Oh, Samuel Yeh +3 more
The paper proposes Hide-and-Seek, a novel framework that localizes failure signals in VLA model execution by treating failure detection as a coarsely supervised learning problem using contrastive obje…