Large Language Models are Zero-Shot Rankers for Recommender Systems

15 May 2023

Papers citing "Large Language Models are Zero-Shot Rankers for Recommender Systems"

41 / 41 papers shown

Title
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models Tong Zhang 27 0 0 06 Apr 2025
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning J. Lin Tian Wang Kun Qian LRM 35 2 0 31 Mar 2025
Uncovering Cross-Domain Recommendation Ability of Large Language Models Xinyi Liu Ruijie Wang Dachun Sun Dilek Hakkani-Tur Tarek F. Abdelzaher 50 0 0 10 Mar 2025
A Survey on LLM-powered Agents for Recommender Systems Qiyao Peng Hongtao Liu Hua Huang Qing Yang Minglai Shao LLMAG LRM 78 2 0 14 Feb 2025
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models Can Jin Hongwu Peng Anxiang Zhang Nuo Chen Jiahui Zhao ... K. Li Shuya Feng Kai Zhong Caiwen Ding Dimitris N. Metaxas 99 2 0 02 Feb 2025
Large Language Model Distilling Medication Recommendation Model Qidong Liu Xian Wu Xiangyu Zhao Yuanshao Zhu Zijian Zhang Feng Tian Yefeng Zheng LM&MA 85 13 0 28 Jan 2025
Knowledge Graph Enhanced Language Agents for Recommendation Taicheng Guo Chaochun Liu Hai Wang Varun Mannam Fang Wang Xin Chen Xiangliang Zhang Chandan K. Reddy 44 2 0 28 Jan 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge Dawei Li Bohan Jiang Liangjie Huang Alimohammad Beigi Chengshuai Zhao ... Canyu Chen Tianhao Wu Kai Shu Lu Cheng Huan Liu ELM AILaw 106 61 0 25 Nov 2024
GOT4Rec: Graph of Thoughts for Sequential Recommendation Zewen Long Liang Wang Shu Wu Qiang Liu Liang Wang 76 1 0 22 Nov 2024
Diversity Helps Jailbreak Large Language Models Weiliang Zhao Daniel Ben-Levi Wei Hao Junfeng Yang Chengzhi Mao AAML 59 0 0 06 Nov 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems Ziqiang Cui Yunpeng Weng Xing Tang Fuyuan Lyu Dugang Liu Xiuqiang He Chen Ma 41 3 0 16 Oct 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations Luyi Ma Xiaohan Li Zezhong Fan Kai Zhao Jianpeng Xu Praveen Kanumala Kaushiki Nag Sushant Kumar Sushant Kumar Kannan Achan 35 4 0 16 Oct 2024
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories Hikaru Asano Ryo Yonetani Taiki Sekii Hiroki Ouchi 62 0 0 19 Sep 2024
TravelAgent: An AI Assistant for Personalized Travel Planning Aili Chen Xuyang Ge Ziquan Fu Yanghua Xiao Jiangjie Chen LLMAG 24 8 0 12 Sep 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation Xiaoyu Kong Jiancan Wu An Zhang Leheng Sheng Hui Lin Xiang Wang Xiangnan He AI4TS 51 4 0 19 Aug 2024
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation Yuyang Ye Zhi Zheng Yishan Shen Tianshu Wang Hengruo Zhang Peijun Zhu Runlong Yu Kai Zhang Hui Xiong 35 7 0 19 Aug 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding Yunjia Xi Hangyu Wang Bo Chen Jianghao Lin Menghui Zhu W. Liu Ruiming Tang Zhewei Wei W. Zhang Yong Yu OffRL 84 4 0 11 Aug 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang Haotian Sun Yue Yu Rushi Qiang Qifan Wang Chao Zhang Bo Dai AAML 31 14 0 05 Jun 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations Hai-Dang Kieu Minh-Duc Nguyen T. Nguyen Dung D. Le RALM LRM 74 2 0 30 May 2024
Towards Completeness-Oriented Tool Retrieval for Large Language Models Changle Qu Sunhao Dai Xiaochi Wei Hengyi Cai Shuaiqiang Wang Dawei Yin Jun Xu Jirong Wen KELM 22 7 0 25 May 2024
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation Zhankui He Zhouhang Xie Harald Steck Dawen Liang Rahul Jha Nathan Kallus Julian McAuley 16 6 0 20 May 2024
Can Small Language Models be Good Reasoners for Sequential Recommendation? Yuling Wang Changxin Tian Binbin Hu Yanhua Yu Ziqi Liu Zhiqiang Zhang Jun Zhou Liang Pang Xiao Wang LRM 34 25 0 07 Mar 2024
Prospect Personalized Recommendation on Large Language Model-based Agent Platform Jizhi Zhang Keqin Bao Wenjie Wang Yang Zhang Wentao Shi Wanhong Xu Fuli Feng Tat-Seng Chua LLMAG 39 16 0 28 Feb 2024
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review A. Vats Vinija Jain Rahul Raja Aman Chadha LRM 18 13 0 11 Feb 2024
Improving Sequential Recommendations with LLMs Artun Boz Wouter Zorgdrager Zoe Kotti Jesse Harte Panos Louridas Dietmar Jannach Vassilios Karakoidas Marios Fragkoulis KELM LRM 55 4 0 02 Feb 2024
LitLLM: A Toolkit for Scientific Literature Review Shubham Agarwal I. Laradji Laurent Charlin Christopher Pal Krishnamurthy DJ Dvijotham Jason Stanley Laurent Charlin Christopher Pal 31 20 0 02 Feb 2024
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification Yaxin Zhu Hamed Zamani 33 3 0 16 Nov 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting Xu Liu Junfeng Hu Yuan N. Li Shizhe Diao Yuxuan Liang Bryan Hooi Roger Zimmermann AI4TS 20 75 0 15 Oct 2023
MuseChat: A Conversational Music Recommendation System for Videos Zhikang Dong Bin Chen Xiulong Liu Paweł Polak Peng Zhang LRM 24 25 0 10 Oct 2023
Evaluating ChatGPT as a Recommender System: A Rigorous Approach Dario Di Palma Giovanni Maria Biancofiore V. W. Anelli F. Narducci T. D. Noia E. Sciascio ALM 38 27 0 07 Sep 2023
RecMind: Large Language Model Powered Agent For Recommendation Yancheng Wang Ziyan Jiang Zheng Chen Fan Yang Yingxue Zhou Eunah Cho Xing Fan Xiaojiang Huang Yanbin Lu Yingzhen Yang LLMAG LM&Ro LRM 22 85 0 28 Aug 2023
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions Pouya Pezeshkpour Estevam R. Hruschka LRM 6 123 0 22 Aug 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation Jianghao Lin Rongjie Shan Chenxu Zhu Kounianhua Du Bo Chen Shigang Quan Ruiming Tang Yong Yu Weinan Zhang LRM 21 79 0 22 Aug 2023
Recommender Systems in the Era of Large Language Models (LLMs) Zihuai Zhao Wenqi Fan Jiatong Li Yunqing Liu Xiaowei Mei ... Zhen Wen Fei Wang Xiangyu Zhao Jiliang Tang Qing Li KELM 61 307 0 05 Jul 2023
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
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders Yupeng Hou Zhankui He Julian McAuley Wayne Xin Zhao 60 122 0 22 Oct 2022
Training language models to follow instructions with human feedback Long Ouyang Jeff Wu Xu Jiang Diogo Almeida Carroll L. Wainwright ... Amanda Askell Peter Welinder Paul Christiano Jan Leike Ryan J. Lowe OSLM ALM 301 11,730 0 04 Mar 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 203 1,651 0 15 Oct 2021
A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions Tianzi Zang Yanmin Zhu Haobing Liu Ruohan Zhang Jiadi Yu 40 115 0 07 Aug 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity Yao Lu Max Bartolo Alastair Moore Sebastian Riedel Pontus Stenetorp AILaw LRM 274 1,114 0 18 Apr 2021
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop Shitao Xiao Zheng Liu Yingxia Shao Tao Di Xing Xie VLM AIFin 105 41 0 18 Feb 2021