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

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)"

16 / 16 papers shown
Title
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
Zihuai Zhao
Wenqi Fan
Yao Wu
Qing Li
54
1
0
05 Apr 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
...
K. Li
Shuya Feng
Kai Zhong
Caiwen Ding
Dimitris N. Metaxas
68
2
0
02 Feb 2025
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
W. Liu
Ruiming Tang
Zhewei Wei
W. Zhang
Yong Yu
OffRL
42
40
0
11 Aug 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
32
34
0
30 May 2024
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
92
180
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 J. F. Gales
HILM
LRM
108
217
0
15 Mar 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
32
77
0
22 Oct 2022
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
55
31
0
21 Sep 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
ReLM
BDL
LRM
AI4CE
247
2,029
0
21 Mar 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&Ro
LRM
AI4CE
ReLM
268
5,177
0
28 Jan 2022
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
23
1
0
15 Oct 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
43
69
0
12 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
62
131
0
12 Jul 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
217
1,649
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
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
241
1,386
0
14 Dec 2020
Unified Vision-Language Pre-Training for Image Captioning and VQA
Unified Vision-Language Pre-Training for Image Captioning and VQA
Luowei Zhou
Hamid Palangi
Lei Zhang
Houdong Hu
Jason J. Corso
Jianfeng Gao
MLLM
VLM
226
815
0
24 Sep 2019
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