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20232026
most citedIntegrating Large Language Models into Recommendation via Mutual Augmentation and Adaptive Aggregation

5 citations · 10 across the 32 of their papers we have counts for

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Showing 2024 · cs.CLShow all

2 papers · 2 filters

cs.CL2024

Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional Chaining

Shuqi Liu, Bowei He, Linqi Song

Large Language Models (LLMs) have shown human-like reasoning abilities but still face challenges in solving complex logical problems. Existing unidirectional chaining methods, such…

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…