ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.07609
  4. Cited By
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large
  Language Model Recommendation

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

12 May 2023
Jizhi Zhang
Keqin Bao
Yang Zhang
Wenjie Wang
Fuli Feng
Xiangnan He
    LRM
    ALM
ArXivPDFHTML

Papers citing "Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation"

27 / 27 papers shown
Title
AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
AI Ethics and Social Norms: Exploring ChatGPT's Capabilities From What to How
Omid Veisi
Sasan Bahrami
Roman Englert
Claudia Müller
123
0
0
25 Apr 2025
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?
Kaidong Feng
Zhu Sun
Jie Yang
Hui Fang
Xinghua Qu
Wen Liu
48
0
0
24 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
31
0
0
06 Apr 2025
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
80
1
0
05 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
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
Can ChatGPT Diagnose Alzheimer's Disease?
Can ChatGPT Diagnose Alzheimer's Disease?
Quoc Toan Nguyen
Linh Le
Xuan-The Tran
T. Do
Chin-Teng Lin
LM&MA
234
0
0
10 Feb 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
82
18
0
17 Jan 2025
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
COMPL-AI Framework: A Technical Interpretation and LLM Benchmarking Suite for the EU Artificial Intelligence Act
Philipp Guldimann
Alexander Spiridonov
Robin Staab
Nikola Jovanović
Mark Vero
...
Mislav Balunović
Nikola Konstantinov
Pavol Bielik
Petar Tsankov
Martin Vechev
ELM
50
4
0
10 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Xingzhou Lou
Dong Yan
Wei Shen
Yuzi Yan
Jian Xie
Junge Zhang
50
22
0
01 Oct 2024
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m
  Predictions per Second
A Bag of Tricks for Scaling CPU-based Deep FFMs to more than 300m Predictions per Second
Blaž Škrlj
Benjamin Ben-Shalom
Grega Gaspersic
Adi Schwartz
Ramzi Hoseisi
Naama Ziporin
Davorin Kopic
Andraz Tori
42
0
0
14 Jul 2024
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Anvesh Rao Vijjini
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
51
6
0
17 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
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
Junfeng Jiao
S. Afroogh
Yiming Xu
Connor Phillips
AILaw
65
19
0
14 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
7
0
07 May 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
24
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
48
16
0
28 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
An Early Categorization of Prompt Injection Attacks on Large Language
  Models
An Early Categorization of Prompt Injection Attacks on Large Language Models
Sippo Rossi
Alisia Marianne Michel
R. Mukkamala
J. Thatcher
SILM
AAML
26
16
0
31 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
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
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
78
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
309
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
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors,
  and Lessons Learned
Red Teaming Language Models to Reduce Harms: Methods, Scaling Behaviors, and Lessons Learned
Deep Ganguli
Liane Lovitt
John Kernion
Amanda Askell
Yuntao Bai
...
Nicholas Joseph
Sam McCandlish
C. Olah
Jared Kaplan
Jack Clark
231
446
0
23 Aug 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
328
11,953
0
04 Mar 2022
User-oriented Fairness in Recommendation
User-oriented Fairness in Recommendation
Yunqi Li
H. Chen
Zuohui Fu
Yingqiang Ge
Yongfeng Zhang
FaML
100
228
0
21 Apr 2021
1