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Agents extend their capabilities through reusable skills that package instructions, executable code, and resources. Composing these skills enables complex task workflows, but their dependencies can also connect malicious operations across skills, making their combined intent difficult to identify through individual-pac...
This work identifies a phenomenon termed token-level memorization asymmetry through theoretical analysis of diffusion training dynamics and proposes Q-Skew, a quantile-weighted skewness-based indicator for membership inference on finetuned DLMs.
Comparison-Only Tiny Advisor (COTA), a comparison-only framework for constructive runtime intervention that shows that constructive runtime intervention can remain effective even when the auxiliary model has substantially weaker task-solving capability than the actor.
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