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Slow-Fast Multi-Teacher On-Policy Distillation (SF-MOPD), which couples a fast model, the current student updated directly by each teacher, with a slow model, an exponential moving average of the student, which effectively mitigates capability interference, enhances specialized multimodal capabilities, and reduces the...
Adversarial attacks on black-box models, which operate without direct access to the target system, present a significant challenge due to the lack of a foundational theory for the transferability of adversarial examples. This paper introduces a paradigm shift in black-box adversarial attacks by minimizing model discrep...
GUI agents are commonly trained offline from successful interaction trajectories. Standard training decomposes each trajectory into prefix-action pairs: the agent predicts an action from the current screen and interaction history, while the subsequent observation is discarded. This removes the rationale of why an actio...
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