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Jie Yang

Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
Routing Distilled Knowledge via Mixture of LoRA Experts for Large Language Model based Bundle Generation
Adaptive In-Context Learning with Large Language Models for Bundle Generation
Revisiting Bundle Recommendation for Intent-aware Product Bundling
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling
Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison
Research Commentary on Recommendations with Side Information: A Survey and Research Directions
Recurrent Knowledge Graph Embedding for Effective Recommendation
Exploiting both Vertical and Horizontal Dimensions of Feature hierarchy for Effective Recommendation
Interactive Attention-Gated Recurrent Networks for Recommendation
MRLR: Multi-level Representation Learning for Personalized Ranking in Recommendation
Learning Hierarchical Feature Influence for Recommendation by Recursive Regularization

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