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Achieving over 20% performance improvement in data-free knowledge distillation, UniDFKD eliminates reliance on architecture-specific priors, paving the way for more robust model training across diverse architectures.
Gated Hindsight Distillation allows GUI agents to learn from future observations, drastically improving their reasoning capabilities in complex environments.
