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This work evaluates six recent self-evolution methods and introduces CLR-Bench, a Curriculum of Latent Rules benchmark, which measures how well an agent learns, and this ability differs across models.
Multimodal inputs are inherently heterogeneous, not only across modalities but also in the information pathways required for effective prediction. To address this limitation, we propose InstMoE, an adaptive expert routing framework for multimodal learning. InstMoE dynamically routes each input to specialized unimodal a...
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