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Zhejiang University
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POEM's innovative use of $\mathrm{SO}(2)$ rotations reveals how to effectively manage periodicity drift, transforming time series forecasting.
Weak student agents can learn effectively from their failures through targeted skill patches that bridge the gap between their capabilities and those of stronger teacher models.
