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A Survey on Large Language Models for Recommendation

A Survey on Large Language Models for Recommendation

31 May 2023
Likang Wu
Zhilan Zheng
Zhaopeng Qiu
Hao Wang
Hongchao Gu
Tingjia Shen
Chuan Qin
Chen Zhu
Hengshu Zhu
Qi Liu
Hui Xiong
Enhong Chen
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Papers citing "A Survey on Large Language Models for Recommendation"

42 / 192 papers shown
Title
Understanding Biases in ChatGPT-based Recommender Systems: Provider
  Fairness, Temporal Stability, and Recency
Understanding Biases in ChatGPT-based Recommender Systems: Provider Fairness, Temporal Stability, and Recency
Yashar Deldjoo
LRM
VLM
51
36
0
19 Jan 2024
Evolutionary Computation in the Era of Large Language Model: Survey and
  Roadmap
Evolutionary Computation in the Era of Large Language Model: Survey and Roadmap
Xingyu Wu
Sheng-hao Wu
Jibin Wu
Liang Feng
Kay Chen Tan
ELM
51
59
0
18 Jan 2024
Unveiling Bias in Fairness Evaluations of Large Language Models: A
  Critical Literature Review of Music and Movie Recommendation Systems
Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems
Chandan Kumar Sah
Xiaoli Lian
Muhammad Mirajul Islam
32
7
0
08 Jan 2024
Large Language Models for Generative Information Extraction: A Survey
Large Language Models for Generative Information Extraction: A Survey
Derong Xu
Wei-neng Chen
Wenjun Peng
Chao Zhang
Tong Xu
Xiangyu Zhao
Xian Wu
Yefeng Zheng
Yang Wang
Enhong Chen
51
146
0
29 Dec 2023
Large Language Models are Not Stable Recommender Systems
Large Language Models are Not Stable Recommender Systems
Tianhui Ma
Yuan Cheng
Hengshu Zhu
Hui Xiong
16
13
0
25 Dec 2023
User Modeling in the Era of Large Language Models: Current Research and
  Future Directions
User Modeling in the Era of Large Language Models: Current Research and Future Directions
Zhaoxuan Tan
Meng Jiang
30
8
0
11 Dec 2023
E4SRec: An Elegant Effective Efficient Extensible Solution of Large
  Language Models for Sequential Recommendation
E4SRec: An Elegant Effective Efficient Extensible Solution of Large Language Models for Sequential Recommendation
Xinhang Li
Chong Chen
Xiangyu Zhao
Yong Zhang
Chunxiao Xing
92
43
0
05 Dec 2023
A Survey on Large Language Models for Personalized and Explainable
  Recommendations
A Survey on Large Language Models for Personalized and Explainable Recommendations
Junyi Chen
LRM
138
12
0
21 Nov 2023
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific
  Recommendations
Knowledge Plugins: Enhancing Large Language Models for Domain-Specific Recommendations
Jing Yao
Wei Xu
Jianxun Lian
Xiting Wang
Xiaoyuan Yi
Xing Xie
ALM
33
18
0
16 Nov 2023
Knowledge-Augmented Large Language Models for Personalized Contextual
  Query Suggestion
Knowledge-Augmented Large Language Models for Personalized Contextual Query Suggestion
Jinheon Baek
N. Chandrasekaran
Silviu Cucerzan
Allen Herring
S. Jauhar
RALM
KELM
29
38
0
10 Nov 2023
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
Prompt Cache: Modular Attention Reuse for Low-Latency Inference
In Gim
Guojun Chen
Seung-seob Lee
Nikhil Sarda
Anurag Khandelwal
Lin Zhong
42
76
0
07 Nov 2023
APGL4SR: A Generic Framework with Adaptive and Personalized Global
  Collaborative Information in Sequential Recommendation
APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation
Mingjia Yin
Hao Wang
Xiang Xu
Likang Wu
Sirui Zhao
Wei Guo
Yong Liu
Ruiming Tang
Defu Lian
Enhong Chen
LMTD
AI4TS
HAI
49
25
0
06 Nov 2023
Instruction Distillation Makes Large Language Models Efficient Zero-shot
  Rankers
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers
Weiwei Sun
Zheng Chen
Xinyu Ma
Lingyong Yan
Shuaiqiang Wang
Pengjie Ren
Zhumin Chen
Dawei Yin
Zhaochun Ren
ALM
37
19
0
02 Nov 2023
Embedding in Recommender Systems: A Survey
Embedding in Recommender Systems: A Survey
Xiangyu Zhao
Maolin Wang
Xinjian Zhao
Jiansheng Li
Shucheng Zhou
Dawei Yin
Qing Li
Jiliang Tang
Ruocheng Guo
AI4TS
38
10
0
28 Oct 2023
Disentangled Representation Learning with Large Language Models for
  Text-Attributed Graphs
Disentangled Representation Learning with Large Language Models for Text-Attributed Graphs
Yi Qin
Xin Wang
Ziwei Zhang
Wenwu Zhu
AI4CE
22
29
0
27 Oct 2023
LightLM: A Lightweight Deep and Narrow Language Model for Generative
  Recommendation
LightLM: A Lightweight Deep and Narrow Language Model for Generative Recommendation
Kai Mei
Yongfeng Zhang
VLM
105
11
0
26 Oct 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
Representation Learning with Large Language Models for Recommendation
Representation Learning with Large Language Models for Recommendation
Xubin Ren
Wei Wei
Lianghao Xia
Lixin Su
Suqi Cheng
Junfeng Wang
Dawei Yin
Chao Huang
47
155
0
24 Oct 2023
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting
  Language Models to CTR Prediction
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction
Jianghao Lin
Bo Chen
Hangyu Wang
Yunjia Xi
Yanru Qu
Xinyi Dai
Kangning Zhang
Ruiming Tang
Yong Yu
Weinan Zhang
60
32
0
13 Oct 2023
AgentCF: Collaborative Learning with Autonomous Language Agents for
  Recommender Systems
AgentCF: Collaborative Learning with Autonomous Language Agents for Recommender Systems
Junjie Zhang
Yupeng Hou
Ruobing Xie
Wenqi Sun
Julian McAuley
Wayne Xin Zhao
Leyu Lin
Ji-Rong Wen
LLMAG
22
68
0
13 Oct 2023
Large Language Models for Generative Recommendation: A Survey and
  Visionary Discussions
Large Language Models for Generative Recommendation: A Survey and Visionary Discussions
Lei Li
Yongfeng Zhang
Dugang Liu
L. Chen
3DV
LRM
32
71
0
03 Sep 2023
RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework
  with LLM Agents
RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework with LLM Agents
Yubo Shu
Haonan Zhang
Hansu Gu
Peng Zhang
Tun Lu
Dongsheng Li
Ning Gu
27
14
0
19 Aug 2023
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot
  Node Classification
KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification
Likang Wu
Junji Jiang
Hongke Zhao
Hao Wang
Defu Lian
Mengdi Zhang
Enhong Chen
22
4
0
15 Aug 2023
A Large Language Model Enhanced Conversational Recommender System
A Large Language Model Enhanced Conversational Recommender System
Yue Feng
Shuchang Liu
Zhenghai Xue
Qingpeng Cai
Lantao Hu
Peng Jiang
Kun Gai
Fei Sun
LRM
16
40
0
11 Aug 2023
When Large Language Models Meet Personalization: Perspectives of
  Challenges and Opportunities
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities
Jin Chen
Zheng Liu
Xunpeng Huang
Chenwang Wu
Qi Liu
...
Yuxuan Lei
Xiaolong Chen
Xingmei Wang
Defu Lian
Enhong Chen
ALM
35
111
0
31 Jul 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for
  Recommendation and Text Generation
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Wei Jin
Haitao Mao
Zheng Li
Haoming Jiang
Cheng-hsin Luo
...
Suhang Wang
Yizhou Sun
Jiliang Tang
Bing Yin
Xianfeng Tang
AI4TS
49
38
0
19 Jul 2023
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models
Look Before You Leap: An Exploratory Study of Uncertainty Measurement for Large Language Models
Yuheng Huang
Jiayang Song
Zhijie Wang
Shengming Zhao
Huaming Chen
Felix Juefei-Xu
Lei Ma
28
6
0
16 Jul 2023
Exploring Large Language Model for Graph Data Understanding in Online
  Job Recommendations
Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations
Likang Wu
Zhaopeng Qiu
Zhi Zheng
Hengshu Zhu
Enhong Chen
16
78
0
10 Jul 2023
Generative Job Recommendations with Large Language Model
Generative Job Recommendations with Large Language Model
Zhi Zheng
Zhaopeng Qiu
Xiao Hu
Likang Wu
Hengshu Zhu
Hui Xiong
17
19
0
05 Jul 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
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph
  Propagation
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation
Likang Wu
Zhi Li
Hongke Zhao
Zhe-Feng Wang
Qi Liu
Baoxing Huai
N. Yuan
Enhong Chen
37
7
0
14 Jun 2023
How Can Recommender Systems Benefit from Large Language Models: A Survey
How Can Recommender Systems Benefit from Large Language Models: A Survey
Jianghao Lin
Xinyi Dai
Yunjia Xi
Weiwen Liu
Bo Chen
...
Chenxu Zhu
Huifeng Guo
Yong Yu
Ruiming Tang
Weinan Zhang
LRM
30
197
0
09 Jun 2023
Large Language Models are Zero-Shot Rankers for Recommender Systems
Large Language Models are Zero-Shot Rankers for Recommender Systems
Yupeng Hou
Junjie Zhang
Zihan Lin
Hongyu Lu
Ruobing Xie
Julian McAuley
Wayne Xin Zhao
LRM
ALM
33
301
0
15 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
37
202
0
11 May 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
266
0
25 Mar 2023
Talk the Walk: Synthetic Data Generation for Conversational Music
  Recommendation
Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation
Megan Leszczynski
Shu Zhen Zhang
Ravi Ganti
K. Balog
Filip Radlinski
Fernando Pereira
Arun Tejasvi Chaganty
28
8
0
27 Jan 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
68
125
0
22 Oct 2022
Training language models to follow instructions with human feedback
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
369
12,081
0
04 Mar 2022
Towards Continual Knowledge Learning of Language Models
Towards Continual Knowledge Learning of Language Models
Joel Jang
Seonghyeon Ye
Sohee Yang
Joongbo Shin
Janghoon Han
Gyeonghun Kim
Stanley Jungkyu Choi
Minjoon Seo
CLL
KELM
233
151
0
07 Oct 2021
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
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
279
1,125
0
18 Apr 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
280
3,872
0
18 Apr 2021
Training Large-Scale News Recommenders with Pretrained Language Models
  in the Loop
Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
Shitao Xiao
Zheng Liu
Yingxia Shao
Tao Di
Xing Xie
VLM
AIFin
127
41
0
18 Feb 2021
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