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Large Language Models are Zero-Shot Rankers for Recommender Systems

Large Language Models are Zero-Shot Rankers for Recommender Systems

15 May 2023
Yupeng Hou
Junjie Zhang
Zihan Lin
Hongyu Lu
Ruobing Xie
Julian McAuley
Wayne Xin Zhao
    LRM
    ALM
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Papers citing "Large Language Models are Zero-Shot Rankers for Recommender Systems"

50 / 56 papers shown
Title
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
Anton Korikov
Pan Du
Scott Sanner
Navid Rekabsaz
9
0
0
18 May 2025
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations
The Pitfalls of Growing Group Complexity: LLMs and Social Choice-Based Aggregation for Group Recommendations
Cedric Waterschoot
N. Tintarev
Francesco Barile
49
0
0
08 May 2025
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
User Feedback Alignment for LLM-powered Exploration in Large-scale Recommendation Systems
Jianling Wang
Yifan Liu
Yinghao Sun
Xuejian Ma
Yueqi Wang
...
Onkar Dalal
Ed Chi
Lichan Hong
Ningren Han
Haokai Lu
31
0
0
07 Apr 2025
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
Tong Zhang
34
0
0
06 Apr 2025
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
J. Lin
Tian Wang
Kun Qian
LRM
47
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
174
0
0
10 Mar 2025
Towards An Efficient LLM Training Paradigm for CTR Prediction
Towards An Efficient LLM Training Paradigm for CTR Prediction
Allen Lin
Renqin Cai
Yun He
Hanchao Yu
Jing Qian
Rui Li
Qifan Wang
James Caverlee
44
0
0
02 Mar 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
Yashar Deldjoo
Tommaso Di Noia
91
21
0
24 Feb 2025
Taxonomy-Guided Zero-Shot Recommendations with LLMs
Taxonomy-Guided Zero-Shot Recommendations with LLMs
Yueqing Liang
Liangwei Yang
Chen Wang
Xiongxiao Xu
Philip S. Yu
Kai Shu
72
6
0
21 Feb 2025
A Survey on LLM-powered Agents for Recommender Systems
A Survey on LLM-powered Agents for Recommender Systems
Qiyao Peng
Hongtao Liu
Hua Huang
Qing Yang
Minglai Shao
LLMAG
LRM
86
2
0
14 Feb 2025
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
RankFlow: A Multi-Role Collaborative Reranking Workflow Utilizing Large Language Models
Can Jin
Hongwu Peng
Anxiang Zhang
Nuo Chen
Jiahui Zhao
...
Keqin Li
Shuya Feng
Kai Zhong
Caiwen Ding
Dimitris N. Metaxas
103
2
0
02 Feb 2025
Knowledge Graph Enhanced Language Agents for Recommendation
Knowledge Graph Enhanced Language Agents for Recommendation
Taicheng Guo
Chaochun Liu
Hai Wang
Varun Mannam
Fang Wang
Xin Chen
Xiangliang Zhang
Chandan K. Reddy
52
2
0
28 Jan 2025
Large Language Model Distilling Medication Recommendation Model
Large Language Model Distilling Medication Recommendation Model
Qidong Liu
Xian Wu
Xiangyu Zhao
Yuanshao Zhu
Zijian Zhang
Feng Tian
Yefeng Zheng
LM&MA
94
17
0
28 Jan 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
Zhicheng Dou
85
18
0
17 Jan 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
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
123
70
0
25 Nov 2024
GOT4Rec: Graph of Thoughts for Sequential Recommendation
GOT4Rec: Graph of Thoughts for Sequential Recommendation
Zewen Long
Liang Wang
Shu Wu
Qiang Liu
Liang Wang
100
1
0
22 Nov 2024
Diversity Helps Jailbreak Large Language Models
Diversity Helps Jailbreak Large Language Models
Weiliang Zhao
Daniel Ben-Levi
Wei Hao
Junfeng Yang
Chengzhi Mao
AAML
173
1
0
06 Nov 2024
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Comprehending Knowledge Graphs with Large Language Models for Recommender Systems
Ziqiang Cui
Yunpeng Weng
Xing Tang
Fuyuan Lyu
Dugang Liu
Xiuqiang He
Chen Ma
43
3
0
16 Oct 2024
Triple Modality Fusion: Aligning Visual, Textual, and Graph Data with Large Language Models for Multi-Behavior Recommendations
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
49
4
0
16 Oct 2024
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual
  Captioning of Human Movement Trajectories
Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories
Hikaru Asano
Ryo Yonetani
Taiki Sekii
Hiroki Ouchi
77
0
0
19 Sep 2024
TravelAgent: An AI Assistant for Personalized Travel Planning
TravelAgent: An AI Assistant for Personalized Travel Planning
Aili Chen
Xuyang Ge
Ziquan Fu
Yanghua Xiao
Jiangjie Chen
LLMAG
48
8
0
12 Sep 2024
Customizing Language Models with Instance-wise LoRA for Sequential Recommendation
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
61
7
0
19 Aug 2024
Harnessing Multimodal Large Language Models for Multimodal Sequential Recommendation
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
42
8
0
19 Aug 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Yunjia Xi
Hangyu Wang
Bo Chen
Jianghao Lin
Menghui Zhu
Wei Liu
Ruiming Tang
Zhewei Wei
Wenbo Zhang
Yong Yu
OffRL
95
4
0
11 Aug 2024
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
APEER: Automatic Prompt Engineering Enhances Large Language Model Reranking
Can Jin
Hongwu Peng
Shiyu Zhao
Zhenting Wang
Wujiang Xu
Ligong Han
Jiahui Zhao
Kai Zhong
Sanguthevar Rajasekaran
Dimitris N. Metaxas
KELM
44
32
0
20 Jun 2024
Through the Thicket: A Study of Number-Oriented LLMs derived from Random
  Forest Models
Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models
M. Romaszewski
Przemysław Sekuła
P. Głomb
M. Cholewa
Katarzyna Kołodziej
37
0
0
07 Jun 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
HYDRA: Model Factorization Framework for Black-Box LLM Personalization
Yuchen Zhuang
Haotian Sun
Yue Yu
Rushi Qiang
Qifan Wang
Chao Zhang
Bo Dai
AAML
51
15
0
05 Jun 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
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
79
2
0
30 May 2024
Don't Forget to Connect! Improving RAG with Graph-based Reranking
Don't Forget to Connect! Improving RAG with Graph-based Reranking
Jialin Dong
Bahare Fatemi
Bryan Perozzi
Lin F. Yang
Anton Tsitsulin
58
25
0
28 May 2024
Towards Completeness-Oriented Tool Retrieval for Large Language Models
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
31
7
0
25 May 2024
Reindex-Then-Adapt: Improving Large Language Models for Conversational
  Recommendation
Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
Zhankui He
Zhouhang Xie
Harald Steck
Dawen Liang
Rahul Jha
Nathan Kallus
Julian McAuley
34
6
0
20 May 2024
Knowledge Adaptation from Large Language Model to Recommendation for
  Practical Industrial Application
Knowledge Adaptation from Large Language Model to Recommendation for Practical Industrial Application
Jian Jia
Yipei Wang
Yan Li
Honggang Chen
Xuehan Bai
...
Jian Liang
Quan Chen
Han Li
Peng Jiang
Kun Gai
KELM
43
8
0
07 May 2024
Where to Move Next: Zero-shot Generalization of LLMs for Next POI
  Recommendation
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation
Shanshan Feng
Haoming Lyu
Caishun Chen
Y. Ong
LRM
38
10
0
02 Apr 2024
Evaluating Large Language Models as Generative User Simulators for
  Conversational Recommendation
Evaluating Large Language Models as Generative User Simulators for Conversational Recommendation
Se-eun Yoon
Zhankui He
J. Echterhoff
Julian McAuley
ELM
LLMAG
34
19
0
13 Mar 2024
Can Small Language Models be Good Reasoners for Sequential
  Recommendation?
Can Small Language Models be Good Reasoners for Sequential Recommendation?
Yuling Wang
Changxin Tian
Binbin Hu
Yanhua Yu
Ziqi Liu
Qing Cui
Jun Zhou
Liang Pang
Xiao Wang
LRM
48
26
0
07 Mar 2024
Prospect Personalized Recommendation on Large Language Model-based Agent
  Platform
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
51
17
0
28 Feb 2024
Prediction-Powered Ranking of Large Language Models
Prediction-Powered Ranking of Large Language Models
Ivi Chatzi
Eleni Straitouri
Suhas Thejaswi
Manuel Gomez Rodriguez
ALM
29
5
0
27 Feb 2024
Exploring the Impact of Large Language Models on Recommender Systems: An
  Extensive Review
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
Improving Sequential Recommendations with LLMs
Improving Sequential Recommendations with LLMs
Artun Boz
Wouter Zorgdrager
Zoe Kotti
Jesse Harte
Panos Louridas
Dietmar Jannach
Vassilios Karakoidas
Marios Fragkoulis
KELM
LRM
70
4
0
02 Feb 2024
LitLLM: A Toolkit for Scientific Literature Review
LitLLM: A Toolkit for Scientific Literature Review
Shubham Agarwal
I. Laradji
Laurent Charlin
Christopher Pal
Krishnamurthy DJ Dvijotham
Jason Stanley
Laurent Charlin
Christopher Pal
38
21
0
02 Feb 2024
ICXML: An In-Context Learning Framework for Zero-Shot Extreme
  Multi-Label Classification
ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification
Yaxin Zhu
Hamed Zamani
46
3
0
16 Nov 2023
LlamaRec: Two-Stage Recommendation using Large Language Models for
  Ranking
LlamaRec: Two-Stage Recommendation using Large Language Models for Ranking
Zhenrui Yue
Sara Rabhi
Gabriel de Souza P. Moreira
Dong Wang
Even Oldridge
LRM
46
36
0
25 Oct 2023
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series
  Forecasting
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu
Junfeng Hu
Yuan N. Li
Shizhe Diao
Keli Zhang
Bryan Hooi
Roger Zimmermann
AI4TS
27
77
0
15 Oct 2023
MuseChat: A Conversational Music Recommendation System for Videos
MuseChat: A Conversational Music Recommendation System for Videos
Zhikang Dong
Bin Chen
Xiulong Liu
Paweł Polak
Peng Zhang
LRM
45
26
0
10 Oct 2023
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
Evaluating ChatGPT as a Recommender System: A Rigorous Approach
Dario Di Palma
Giovanni Maria Biancofiore
Vito Walter Anelli
Fedelucio Narducci
Tommaso Di Noia
E. Sciascio
ALM
46
27
0
07 Sep 2023
RecMind: Large Language Model Powered Agent For Recommendation
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
39
86
0
28 Aug 2023
Large Language Models Sensitivity to The Order of Options in
  Multiple-Choice Questions
Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions
Pouya Pezeshkpour
Estevam R. Hruschka
LRM
20
131
0
22 Aug 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential
  Behavior Comprehension in Recommendation
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
40
82
0
22 Aug 2023
Recommender Systems in the Era of Large Language Models (LLMs)
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
63
311
0
05 Jul 2023
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
132
265
0
25 Mar 2023
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