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RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based
  Recommendation

RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation

7 February 2024
Xiaohan Yu
Li Zhang
Xin Zhao
Yue Wang
Zhongrui Ma
ArXivPDFHTML

Papers citing "RA-Rec: An Efficient ID Representation Alignment Framework for LLM-based Recommendation"

4 / 4 papers shown
Title
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
113
242
0
25 Mar 2023
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
236
780
0
14 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
278
3,784
0
18 Apr 2021
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
AI Choreographer: Music Conditioned 3D Dance Generation with AIST++
Ruilong Li
Sha Yang
David A. Ross
Angjoo Kanazawa
ViT
198
467
0
21 Jan 2021
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