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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

8 January 2024
Chandan Kumar Sah
Xiaoli Lian
Muhammad Mirajul Islam
ArXivPDFHTML

Papers citing "Unveiling Bias in Fairness Evaluations of Large Language Models: A Critical Literature Review of Music and Movie Recommendation Systems"

5 / 5 papers shown
Title
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness
FairEval: Evaluating Fairness in LLM-Based Recommendations with Personality Awareness
Chandan Kumar Sah
Xiaoli Lian
Tony Xu
Li Zhang
26
0
0
10 Apr 2025
Exposing Product Bias in LLM Investment Recommendation
Yuhan Zhi
Xiaoyu Zhang
Longtian Wang
Shumin Jiang
Shiqing Ma
Xiaohong Guan
Chao Shen
56
0
0
11 Mar 2025
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based
  Recommendations
Challenging Fairness: A Comprehensive Exploration of Bias in LLM-Based Recommendations
Shahnewaz Karim Sakib
Anindya Bijoy Das
23
0
0
17 Sep 2024
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
22
166
0
09 Jun 2023
Fairness in Recommendation: Foundations, Methods and Applications
Fairness in Recommendation: Foundations, Methods and Applications
Yunqi Li
H. Chen
Shuyuan Xu
Yingqiang Ge
Juntao Tan
Shuchang Liu
Yongfeng Zhang
FaML
OffRL
87
41
0
26 May 2022
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