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Hui Fang

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
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation
Purpose tendency-aware diversified strategy for effective session-based recommendation
Understanding Diversity in Session-based Recommendation
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

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