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Lichan Hong

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STAR: A Simple Training-free Approach for Recommendations using Large Language Models

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Oct 21, 2024
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Bridging the Gap: Unpacking the Hidden Challenges in Knowledge Distillation for Online Ranking Systems

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Aug 26, 2024
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Leveraging LLM Reasoning Enhances Personalized Recommender Systems

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Jul 22, 2024
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Aligning Large Language Models with Recommendation Knowledge

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Mar 30, 2024
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Wisdom of Committee: Distilling from Foundation Model to Specialized Application Model

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Feb 27, 2024
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How to Train Data-Efficient LLMs

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Feb 15, 2024
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LEVI: Generalizable Fine-tuning via Layer-wise Ensemble of Different Views

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Feb 07, 2024
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Hiformer: Heterogeneous Feature Interactions Learning with Transformers for Recommender Systems

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Nov 10, 2023
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Talking Models: Distill Pre-trained Knowledge to Downstream Models via Interactive Communication

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Oct 04, 2023
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Density Weighting for Multi-Interest Personalized Recommendation

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Aug 03, 2023
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