most citedIntegrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation

5 citations · 5 across the 5 of their papers we have counts for

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cs.CL2025

Reasoning Meets Personalization: Unleashing the Potential of Large Reasoning Model for Personalized Generation

Sichun Luo, Guanzhi Deng, Jian Xu +4

Personalization is a critical task in modern intelligent systems, with applications spanning diverse domains, including interactions with large language models (LLMs). Recent advan…

cs.CL2024

Privacy in LLM-based Recommendation: Recent Advances and Future Directions

Sichun Luo, Wei Shao, Yuxuan Yao +9

Nowadays, large language models (LLMs) have been integrated with conventional recommendation models to improve recommendation performance. However, while most of the existing works…