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Fuyuan Lyu

Comprehending Knowledge Graphs with Large Language Models for Recommender Systems

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Oct 16, 2024
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RevisEval: Improving LLM-as-a-Judge via Response-Adapted References

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Oct 07, 2024
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Mixed-Precision Embeddings for Large-Scale Recommendation Models

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Sep 30, 2024
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OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction

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Aug 16, 2024
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Collaborative Performance Prediction for Large Language Models

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Jul 01, 2024
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Toward a Better Understanding of Fourier Neural Operators: Analysis and Improvement from a Spectral Perspective

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Apr 10, 2024
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Touch the Core: Exploring Task Dependence Among Hybrid Targets for Recommendation

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Mar 26, 2024
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Towards Automated Negative Sampling in Implicit Recommendation

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Nov 06, 2023
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Towards Hybrid-grained Feature Interaction Selection for Deep Sparse Network

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Oct 30, 2023
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OptMSM: Optimizing Multi-Scenario Modeling for Click-Through Rate Prediction

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Jun 23, 2023
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