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Discrete-WAM enables compositional causal reasoning in autonomous driving, outperforming traditional methods that struggle with complex state-action dynamics.
CLEAR reallocates resources in LLMs to boost accuracy by up to 3x in resource-limited settings, challenging traditional uniform allocation strategies.
