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Recommender Systems in the Era of Large Language Models (LLMs)
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Recommender Systems in the Era of Large Language Models (LLMs)

5 July 2023
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
Yiqi Wang
Zhen Wen
Fei Wang
Xiangyu Zhao
Jiliang Tang
Qing Li
    KELM
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Papers citing "Recommender Systems in the Era of Large Language Models (LLMs)"

50 / 118 papers shown
Title
Leveraging Large Language Models in Conversational Recommender Systems
Leveraging Large Language Models in Conversational Recommender Systems
Luke Friedman
Sameer Ahuja
David Allen
Zhenning Tan
Hakim Sidahmed
...
Ajay Patel
Harsh Lara
Brian Chu
Zexiang Chen
Manoj Kumar Tiwari
83
109
0
13 May 2023
Zero-shot Item-based Recommendation via Multi-task Product Knowledge
  Graph Pre-Training
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training
Ziwei Fan
Zhiwei Liu
Shelby Heinecke
Jianguo Zhang
Haiquan Wang
Caiming Xiong
Philip S. Yu
VLM
48
14
0
12 May 2023
PALR: Personalization Aware LLMs for Recommendation
PALR: Personalization Aware LLMs for Recommendation
Fan Yang
Zheng Chen
Ziyan Jiang
Eunah Cho
Xiaojiang Huang
Yanbin Lu
65
113
0
12 May 2023
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large
  Language Model Recommendation
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
Jizhi Zhang
Keqin Bao
Yang Zhang
Wenjie Wang
Fuli Feng
Xiangnan He
LRMALM
69
162
0
12 May 2023
Recommendation as Instruction Following: A Large Language Model
  Empowered Recommendation Approach
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach
Junjie Zhang
Ruobing Xie
Yupeng Hou
Wayne Xin Zhao
Leyu Lin
Ji-Rong Wen
81
224
0
11 May 2023
How to Index Item IDs for Recommendation Foundation Models
How to Index Item IDs for Recommendation Foundation Models
Wenyue Hua
Shuyuan Xu
Yingqiang Ge
Yongfeng Zhang
63
113
0
11 May 2023
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating
  Prediction
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
Wang-Cheng Kang
Jianmo Ni
Nikhil Mehta
M. Sathiamoorthy
Lichan Hong
Ed H. Chi
D. Cheng
51
122
0
10 May 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services
Privacy-Preserving Prompt Tuning for Large Language Model Services
Yansong Li
Zhixing Tan
Yang Liu
SILMVLM
84
68
0
10 May 2023
Recommender Systems with Generative Retrieval
Recommender Systems with Generative Retrieval
Shashank Rajput
Nikhil Mehta
Anima Singh
Raghunandan H. Keshavan
T. Vu
...
Vinh Q. Tran
Jonah Samost
Maciej Kula
Ed H. Chi
M. Sathiamoorthy
RALM3DV
61
86
0
08 May 2023
Sparks of Artificial General Recommender (AGR): Early Experiments with
  ChatGPT
Sparks of Artificial General Recommender (AGR): Early Experiments with ChatGPT
Guo Lin
Yongfeng Zhang
LRM
21
15
0
08 May 2023
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via
  Prompt Augmented by ChatGPT
Graph-ToolFormer: To Empower LLMs with Graph Reasoning Ability via Prompt Augmented by ChatGPT
Jiawei Zhang
LRM
81
78
0
10 Apr 2023
GPT4Rec: A Generative Framework for Personalized Recommendation and User
  Interests Interpretation
GPT4Rec: A Generative Framework for Personalized Recommendation and User Interests Interpretation
Jinming Li
Wentao Zhang
Tiantian Wang
Guanglei Xiong
Alan Lu
Gérard Medioni
RALM
60
103
0
08 Apr 2023
Zero-Shot Next-Item Recommendation using Large Pretrained Language
  Models
Zero-Shot Next-Item Recommendation using Large Pretrained Language Models
Lei Wang
Ee-Peng Lim
LRM
53
57
0
06 Apr 2023
DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task
DoctorGLM: Fine-tuning your Chinese Doctor is not a Herculean Task
Honglin Xiong
Sheng Wang
Yitao Zhu
Zihao Zhao
Yuxiao Liu
Linlin Huang
Qian Wang
Dinggang Shen
LM&MAAI4MH
79
173
0
03 Apr 2023
BloombergGPT: A Large Language Model for Finance
BloombergGPT: A Large Language Model for Finance
Shijie Wu
Ozan Irsoy
Steven Lu
Vadim Dabravolski
Mark Dredze
Sebastian Gehrmann
P. Kambadur
David S. Rosenberg
Gideon Mann
AIFin
218
843
0
30 Mar 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
RALMKELM
164
290
0
25 Mar 2023
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for
  Generative Large Language Models
SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models
Potsawee Manakul
Adian Liusie
Mark Gales
HILMLRM
189
430
0
15 Mar 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
1.4K
14,359
0
15 Mar 2023
A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3
A Brief Report on LawGPT 1.0: A Virtual Legal Assistant Based on GPT-3
Nguyen Ha Thanh
ELMAILaw
52
54
0
11 Feb 2023
Generative Diffusion Models on Graphs: Methods and Applications
Generative Diffusion Models on Graphs: Methods and Applications
Junfeng Fang
Wenqi Fan
Yunqing Liu
Jiatong Li
Hang Li
Hui Liu
Jiliang Tang
Qing Li
MedImDiffM
57
63
0
06 Feb 2023
Learning Vector-Quantized Item Representation for Transferable
  Sequential Recommenders
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders
Yupeng Hou
Zhankui He
Julian McAuley
Wayne Xin Zhao
94
136
0
22 Oct 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
133
40
0
21 Sep 2022
A Comprehensive Survey on Trustworthy Recommender Systems
A Comprehensive Survey on Trustworthy Recommender Systems
Wenqi Fan
Xiangyu Zhao
Xiao Chen
Jingran Su
Jingtong Gao
...
Qidong Liu
Yiqi Wang
Hanfeng Xu
Lei Chen
Qing Li
FaML
87
47
0
21 Sep 2022
Disentangled Contrastive Learning for Social Recommendation
Disentangled Contrastive Learning for Social Recommendation
Jiahao Wu
Wenqi Fan
Jingfan Chen
Shengcai Liu
Qing Li
Jiaheng Zhang
77
68
0
18 Aug 2022
Knowledge-enhanced Black-box Attacks for Recommendations
Knowledge-enhanced Black-box Attacks for Recommendations
Jingfan Chen
Wenqi Fan
Guanghui Zhu
Xiangyu Zhao
Chun Yuan
Qing Li
Jiaming Ji
MLAUAAML
53
52
0
21 Jul 2022
Towards Unified Conversational Recommender Systems via
  Knowledge-Enhanced Prompt Learning
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning
Xiaolei Wang
Kun Zhou
Ji-Rong Wen
Wayne Xin Zhao
HAIAI4TS
70
135
0
19 Jun 2022
Self-Generated In-Context Learning: Leveraging Auto-regressive Language
  Models as a Demonstration Generator
Self-Generated In-Context Learning: Leveraging Auto-regressive Language Models as a Demonstration Generator
Sungmin Cho
Hyunsoo Cho
Junyeob Kim
Taeuk Kim
Kang Min Yoo
Sang-goo Lee
89
64
0
16 Jun 2022
Towards Universal Sequence Representation Learning for Recommender
  Systems
Towards Universal Sequence Representation Learning for Recommender Systems
Yupeng Hou
Shanlei Mu
Wayne Xin Zhao
Yaliang Li
Bolin Ding
Ji-Rong Wen
AI4TS
84
207
0
13 Jun 2022
A Unified Multi-task Learning Framework for Multi-goal Conversational
  Recommender Systems
A Unified Multi-task Learning Framework for Multi-goal Conversational Recommender Systems
Yang Deng
Wenxuan Zhang
Weiwen Xu
Wenqiang Lei
Tat-Seng Chua
W. Lam
LRM
83
65
0
14 Apr 2022
PaLM: Scaling Language Modeling with Pathways
PaLM: Scaling Language Modeling with Pathways
Aakanksha Chowdhery
Sharan Narang
Jacob Devlin
Maarten Bosma
Gaurav Mishra
...
Kathy Meier-Hellstern
Douglas Eck
J. Dean
Slav Petrov
Noah Fiedel
PILMLRM
489
6,240
0
05 Apr 2022
STaR: Bootstrapping Reasoning With Reasoning
STaR: Bootstrapping Reasoning With Reasoning
E. Zelikman
Yuhuai Wu
Jesse Mu
Noah D. Goodman
ReLMLRM
140
488
0
28 Mar 2022
Recommendation as Language Processing (RLP): A Unified Pretrain,
  Personalized Prompt & Predict Paradigm (P5)
Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5)
Shijie Geng
Shuchang Liu
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
VLMAI4TS
94
483
0
24 Mar 2022
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Self-Consistency Improves Chain of Thought Reasoning in Language Models
Xuezhi Wang
Jason W. Wei
Dale Schuurmans
Quoc Le
Ed H. Chi
Sharan Narang
Aakanksha Chowdhery
Denny Zhou
ReLMBDLLRMAI4CE
516
3,646
0
21 Mar 2022
Personalized Prompt Learning for Explainable Recommendation
Personalized Prompt Learning for Explainable Recommendation
Lei Li
Yongfeng Zhang
Li Chen
LRM
48
172
0
15 Feb 2022
Survey of Hallucination in Natural Language Generation
Survey of Hallucination in Natural Language Generation
Ziwei Ji
Nayeon Lee
Rita Frieske
Tiezheng Yu
D. Su
...
Delong Chen
Wenliang Dai
Ho Shu Chan
Andrea Madotto
Pascale Fung
HILMLRM
205
2,394
0
08 Feb 2022
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&RoLRMAI4CEReLM
817
9,387
0
28 Jan 2022
LaMDA: Language Models for Dialog Applications
LaMDA: Language Models for Dialog Applications
R. Thoppilan
Daniel De Freitas
Jamie Hall
Noam M. Shazeer
Apoorv Kulshreshtha
...
Blaise Aguera-Arcas
Claire Cui
M. Croak
Ed H. Chi
Quoc Le
ALM
137
1,595
0
20 Jan 2022
Learning To Retrieve Prompts for In-Context Learning
Learning To Retrieve Prompts for In-Context Learning
Ohad Rubin
Jonathan Herzig
Jonathan Berant
VPVLMRALM
84
702
0
16 Dec 2021
Recent Advances in Natural Language Processing via Large Pre-Trained
  Language Models: A Survey
Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey
Bonan Min
Hayley L Ross
Elior Sulem
Amir Pouran Ben Veyseh
Thien Huu Nguyen
Oscar Sainz
Eneko Agirre
Ilana Heinz
Dan Roth
LM&MAVLMAI4CE
151
1,077
0
01 Nov 2021
Intent-based Product Collections for E-commerce using Pretrained
  Language Models
Intent-based Product Collections for E-commerce using Pretrained Language Models
Hiun Kim
Jisu Jeong
KyungHyun Kim
Dongjun Lee
Hyun Dong Lee
Dongpil Seo
Jeeseung Han
Dong Wook Park
J. Heo
Rak Yeong Kim
76
2
0
15 Oct 2021
Finetuned Language Models Are Zero-Shot Learners
Finetuned Language Models Are Zero-Shot Learners
Jason W. Wei
Maarten Bosma
Vincent Zhao
Kelvin Guu
Adams Wei Yu
Brian Lester
Nan Du
Andrew M. Dai
Quoc V. Le
ALMUQCV
201
3,750
0
03 Sep 2021
Graph Trend Filtering Networks for Recommendations
Graph Trend Filtering Networks for Recommendations
Wenqi Fan
Xiaorui Liu
Wei Jin
Xiangyu Zhao
Jiliang Tang
Qing Li
112
106
0
12 Aug 2021
Jointly Attacking Graph Neural Network and its Explanations
Jointly Attacking Graph Neural Network and its Explanations
Wenqi Fan
Wei Jin
Xiaorui Liu
Han Xu
Xianfeng Tang
Suhang Wang
Qing Li
Jiliang Tang
Jianping Wang
Charu C. Aggarwal
AAML
69
28
0
07 Aug 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
162
207
0
12 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
471
10,367
0
17 Jun 2021
AutoLoss: Automated Loss Function Search in Recommendations
AutoLoss: Automated Loss Function Search in Recommendations
Xiangyu Zhao
Haochen Liu
Wenqi Fan
Hui Liu
Jiliang Tang
Chong Wang
64
60
0
12 Jun 2021
One4all User Representation for Recommender Systems in E-commerce
One4all User Representation for Recommender Systems in E-commerce
Kyuyong Shin
Hanock Kwak
KyungHyun Kim
Minkyu Kim
Young-Jin Park
Jisu Jeong
Seungjae Jung
47
28
0
24 May 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
391
1,967
0
31 Dec 2020
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
Basel Alomair
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAUSILM
489
1,923
0
14 Dec 2020
Graph Neural Networks in Recommender Systems: A Survey
Graph Neural Networks in Recommender Systems: A Survey
Shiwen Wu
Fei Sun
Wentao Zhang
Xu Xie
Tengjiao Wang
GNN
142
1,230
0
04 Nov 2020
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