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This work designs each task curriculum with compositional tasks that combine aspects of the tasks seen in the sequence, and factorise this composition along the axes of action and perception to better understand how different input modalities bottleneck knowledge reuse.
Recent advances in foundation models have transformed AI for Science, enabling remarkably accurate predictive performance across domains ranging from protein folding to weather forecasting. Yet prediction alone does not constitute scientific discovery. Scientific understanding depends on uncovering the reusable explana...
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