PAP-REC: Personalized Automatic Prompt for Recommendation Language Model

1 February 2024

Papers citing "PAP-REC: Personalized Automatic Prompt for Recommendation Language Model"

8 / 8 papers shown

Title
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 79 18 0 17 Jan 2025
A Survey of Generative Search and Recommendation in the Era of Large Language Models Yongqi Li Xinyu Lin Wenjie Wang Fuli Feng Liang Pang Wenjie Li Liqiang Nie Xiangnan He Tat-Seng Chua 3DV LRM 46 7 0 25 Apr 2024
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review A. Vats Vinija Jain Rahul Raja Aman Chadha LRM 28 13 0 11 Feb 2024
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders Yupeng Hou Zhankui He Julian McAuley Wayne Xin Zhao 68 124 0 22 Oct 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization Victor Sanh Albert Webson Colin Raffel Stephen H. Bach Lintang Sutawika ... T. Bers Stella Biderman Leo Gao Thomas Wolf Alexander M. Rush LRM 213 1,657 0 15 Oct 2021
Learning to Prompt for Vision-Language Models Kaiyang Zhou Jingkang Yang Chen Change Loy Ziwei Liu VPVLM CLIP VLM 345 2,271 0 02 Sep 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020