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University of Cambridge, Cambridge, United Kingdom, Max Planck Institute for Intelligent Systems, Tübingen, Germany
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General-purpose Causal Foundation Models can now match the performance of specialized causal models by incorporating partial causal graph information via attention bias, unlocking a more unified approach to causal inference.
