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The Chinese University of Hong Kong
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Local pattern memory boosts molecular language model performance, outperforming larger models by leveraging efficient context integration.
Grounding item representations in user behavior can dramatically elevate the accuracy of sequential recommendations, bridging the gap between semantic understanding and real-world interactions.
