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Architectural exposure of routing in neural networks reveals surprising dissociations between routing mass and causal importance, challenging assumptions about interpretability.
Multimodal LLMs often perform worse with more modalities because they struggle to jointly recognize and reason across modalities, a problem solvable with simple prompting strategies.
