AIBullisharXiv – CS AI · Feb 276/105
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Generative Data Transformation: From Mixed to Unified Data
Researchers propose TAESAR, a new data-centric framework for improving recommendation models by transforming mixed-domain data into unified target-domain sequences. The approach uses contrastive decoding to address domain gaps and data sparsity issues, outperforming traditional model-centric solutions while generalizing across various sequential models.