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Unlocking the Potential of Large Language Models for Explainable
  Recommendations

Unlocking the Potential of Large Language Models for Explainable Recommendations

25 December 2023
Yucong Luo
Mingyue Cheng
Hao Zhang
Junyu Lu
Qi Liu
Enhong Chen
    LRM
ArXivPDFHTML

Papers citing "Unlocking the Potential of Large Language Models for Explainable Recommendations"

4 / 4 papers shown
Title
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
A Survey on Knowledge-Oriented Retrieval-Augmented Generation
Mingyue Cheng
Yucong Luo
Jie Ouyang
Q. Liu
Huijie Liu
...
Bohou Zhang
Jiawei Cao
Jie Ma
Daoyu Wang
Enhong Chen
3DV
70
3
0
11 Mar 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
74
18
0
17 Jan 2025
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender
  System
Chat-REC: Towards Interactive and Explainable LLMs-Augmented Recommender System
Yunfan Gao
Tao Sheng
Youlin Xiang
Yun Xiong
Haofen Wang
Jiawei Zhang
RALM
KELM
121
265
0
25 Mar 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
347
8,457
0
28 Jan 2022
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