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Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation
Leveraging Large Language Models (LLMs) to harness user-item interaction histories for item generation has emerged as a promising paradigm in generative recommendation.
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation
Recent work has improved recommendation models remarkably by equipping them with debiasing methods.
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