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Fuyuan Lyu

What, How, Where, and How Well? A Survey on Test-Time Scaling in Large Language Models

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Mar 31, 2025
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A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation

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Mar 05, 2025
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Crowd Comparative Reasoning: Unlocking Comprehensive Evaluations for LLM-as-a-Judge

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Feb 18, 2025
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Fusion Matters: Learning Fusion in Deep Click-through Rate Prediction Models

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Nov 24, 2024
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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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