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Mohamed bin Zayed University of Artificial Intelligence, Carnegie Mellon University
CMU Machine Learning2
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LLMs struggle with historical analogy retrieval due to a focus on surface features, but the new CANA framework boosts their performance by 10% through causal understanding.
Requential coding can compress billion-parameter models to sizes orders of magnitude smaller than traditional methods, revealing the hidden structure in datasets.
