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Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation
ACM Conference on Recommender Systems (RecSys), 2023
12 May 2023
Jizhi Zhang
Keqin Bao
Yang Zhang
Wenjie Wang
Fuli Feng
Xiangnan He
LRM
ALM
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Papers citing
"Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation"
50 / 51 papers shown
Title
Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation
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Yonghui Yang
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Richang Hong
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183
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0
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LLM Reasoning for Cold-Start Item Recommendation
Shijun Li
Y. Wang
Jin Wang
Y. Li
Joydeep Ghosh
Anne Cocos
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28
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0
23 Nov 2025
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering
Zhisheng Yang
Xiaofei Xu
Ke Deng
Li Li
70
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0
17 Oct 2025
HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment
Ali Mekky
Omar El Herraoui
Preslav Nakov
Yuxia Wang
131
0
0
14 Oct 2025
Evaluating Bias in Spoken Dialogue LLMs for Real-World Decisions and Recommendations
Y. Wu
Tianrui Wang
Yizhou Peng
Yi-Wen Chao
Xuyi Zhuang
Xinsheng Wang
Shunshun Yin
Ziyang Ma
80
0
0
27 Sep 2025
Stairway to Fairness: Connecting Group and Individual Fairness
ACM Conference on Recommender Systems (RecSys), 2025
Theresia Veronika Rampisela
Maria Maistro
Tuukka Ruotsalo
Falk Scholer
Christina Lioma
64
1
0
29 Aug 2025
Revealing Potential Biases in LLM-Based Recommender Systems in the Cold Start Setting
Alexandre Andre
Gauthier Roy
Eva L. Dyer
Kai Wang
96
0
0
28 Aug 2025
SMITE: Enhancing Fairness in LLMs through Optimal In-Context Example Selection via Dynamic Validation
Garima Chhikara
Kripabandhu Ghosh
Abhijnan Chakraborty
48
0
0
25 Aug 2025
TrackRec: Iterative Alternating Feedback with Chain-of-Thought via Preference Alignment for Recommendation
Yu Xia
Rui Zhong
Zeyu Song
Wei Yang
Junchen Wan
Qingpeng Cai
Chi Lu
Peng Jiang
LRM
57
3
0
21 Aug 2025
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations?
Chandan Kumar Sah
48
0
0
20 Aug 2025
Evaluating Position Bias in Large Language Model Recommendations
Ethan Bito
Yongli Ren
Estrid He
50
1
0
04 Aug 2025
What LLMs Miss in Recommendations: Bridging the Gap with Retrieval-Augmented Collaborative Signals
Shahrooz Pouryousef
Ali Montazeralghaem
148
0
0
27 May 2025
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models
Tong Zhang
168
1
0
06 Apr 2025
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations
Zihuai Zhao
Wenqi Fan
Yao Wu
Qing Li
301
3
0
05 Apr 2025
Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPT
International Conference on Software Engineering Research and Applications (ICSERA), 2025
Harishwar Reddy
Madhusudan Srinivasan
Upulee Kanewala
130
2
0
04 Apr 2025
Rec-R1: Bridging Generative Large Language Models and User-Centric Recommendation Systems via Reinforcement Learning
J. Lin
Tian Wang
Kun Qian
LRM
432
15
0
31 Mar 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024
Yashar Deldjoo
Tommaso Di Noia
361
36
0
24 Feb 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical Analysis
ACM Transactions on Knowledge Discovery from Data (TKDD), 2024
Lanling Xu
Junjie Zhang
Bingqian Li
Jinpeng Wang
Sheng Chen
Wayne Xin Zhao
Ji-Rong Wen
358
24
0
17 Jan 2025
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use Cases
Journal of Open Source Software (JOSS), 2025
Dylan Bouchard
Mohit Singh Chauhan
David Skarbrevik
Viren Bajaj
Zeya Ahmad
201
4
0
06 Jan 2025
LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender System
Proceedings of the VLDB Endowment (PVLDB), 2024
Fengxin Li
Yi Li
Yue Liu
Chao Zhou
Yuan Wang
...
Haijie Gu
Jie Jiang
Hongyan Liu
Biao Qin
Jun He
173
2
0
21 Nov 2024
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
295
18
0
10 Oct 2024
Stereotype or Personalization? User Identity Biases Chatbot Recommendations
Annual Meeting of the Association for Computational Linguistics (ACL), 2024
Anjali Kantharuban
Jeremiah Milbauer
Emma Strubell
Emma Strubell
Graham Neubig
247
25
0
08 Oct 2024
Uncertainty-aware Reward Model: Teaching Reward Models to Know What is Unknown
Xingzhou Lou
Dong Yan
Wei Shen
Yuzi Yan
Jian Xie
Junge Zhang
346
38
0
01 Oct 2024
Negative Sampling in Recommendation: A Survey and Future Directions
Javier Yong
Ruobing Xie
Lei Meng
Fuli Feng
Xiaoyu Du
Xingwu Sun
Zhanhui Kang
Xiangxu Meng
165
12
0
11 Sep 2024
Laser: Parameter-Efficient LLM Bi-Tuning for Sequential Recommendation with Collaborative Information
Xinyu Zhang
Linmei Hu
Luhao Zhang
Dandan Song
Heyan Huang
Liqiang Nie
194
2
0
03 Sep 2024
Fairness Definitions in Language Models Explained
Thang Viet Doan
Zhibo Chu
Sribala Vidyadhari Chinta
Wenbin Zhang
ALM
255
17
0
26 Jul 2024
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
185
1
0
14 Jul 2024
A Comprehensive Survey on Retrieval Methods in Recommender Systems
Junjie Huang
Jizheng Chen
Jianghao Lin
J. Qin
Ziming Feng
Weinan Zhang
Yong Yu
167
20
0
11 Jul 2024
Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation
Xin Ma
Mingyue Li
Xuguang Liu
OffRL
171
6
0
10 Jul 2024
Exploring Safety-Utility Trade-Offs in Personalized Language Models
Anvesh Rao Vijjini
Somnath Basu Roy Chowdhury
Snigdha Chaturvedi
420
14
0
17 Jun 2024
A Survey of Useful LLM Evaluation
Ji-Lun Peng
Sijia Cheng
Egil Diau
Yung-Yu Shih
Po-Heng Chen
Yen-Ting Lin
Yun-Nung Chen
LLMAG
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232
30
0
03 Jun 2024
Keyword-driven Retrieval-Augmented Large Language Models for Cold-start User Recommendations
Hai-Dang Kieu
Minh-Duc Nguyen
Thien Hang Nguyen
Dung D. Le
RALM
LRM
270
8
0
30 May 2024
The Impossibility of Fair LLMs
Jacy Reese Anthis
Kristian Lum
Michael Ekstrand
Avi Feller
Alexander D’Amour
FaML
354
24
0
28 May 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions
AI and Ethics (AI & Ethics), 2024
Junfeng Jiao
S. Afroogh
Yiming Xu
Connor Phillips
AILaw
506
52
0
14 May 2024
Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation
Ziyan Wang
Yingpeng Du
Zhu Sun
Haoyan Chua
Kaidong Feng
Wenya Wang
Jie Zhang
LRM
KELM
166
8
0
25 Mar 2024
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
182
52
0
07 Mar 2024
eCeLLM: Generalizing Large Language Models for E-commerce from Large-scale, High-quality Instruction Data
Bo Peng
Xinyi Ling
Ziru Chen
Huan Sun
Xia Ning
ELM
147
41
0
13 Feb 2024
Exploring the Impact of Large Language Models on Recommender Systems: An Extensive Review
A. Vats
Vinija Jain
Rahul Raja
Vasu Sharma
LRM
229
22
0
11 Feb 2024
A Personalized Framework for Consumer and Producer Group Fairness Optimization in Recommender Systems
Hossein A. Rahmani
Mohammadmehdi Naghiaei
Yashar Deldjoo
FaML
205
10
0
01 Feb 2024
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
238
13
0
08 Jan 2024
Grounding Foundation Models through Federated Transfer Learning: A General Framework
ACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023
Weijing Chen
Tao Fan
Hanlin Gu
Xiaojin Zhang
Lixin Fan
Qiang Yang
AI4CE
380
26
0
29 Nov 2023
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yang Zhang
Fuli Feng
Jizhi Zhang
Keqin Bao
Qifan Wang
Xiangnan He
271
129
0
30 Oct 2023
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
287
36
0
07 Sep 2023
GPTEval: A Survey on Assessments of ChatGPT and GPT-4
International Conference on Language Resources and Evaluation (LREC), 2023
Rui Mao
Guanyi Chen
Xulang Zhang
Frank Guerin
Xiaoshi Zhong
ELM
LM&MA
145
142
0
24 Aug 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
The Web Conference (WWW), 2023
Jianghao Lin
Rongjie Shan
Chenxu Zhu
Kounianhua Du
Bo Chen
Shigang Quan
Ruiming Tang
Yong Yu
Weinan Zhang
LRM
452
133
0
22 Aug 2023
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
229
64
0
11 Aug 2023
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts
Yashar Deldjoo
222
25
0
14 Jul 2023
Fairness-Aware Graph Neural Networks: A Survey
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
April Chen
Ryan Rossi
Namyong Park
Puja Trivedi
Yu Wang
Tong Yu
Sungchul Kim
Franck Dernoncourt
Nesreen K. Ahmed
169
25
0
08 Jul 2023
Recommender Systems in the Era of Large Language Models (LLMs)
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Zihuai Zhao
Wenqi Fan
Jiatong Li
Yunqing Liu
Xiaowei Mei
...
Zhen Wen
Fei Wang
Xiangyu Zhao
Shucheng Zhou
Qing Li
KELM
472
422
0
05 Jul 2023
UP5: Unbiased Foundation Model for Fairness-aware Recommendation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Qingfeng Lan
Yingqiang Ge
Shuyuan Xu
Jianchao Ji
Zelong Li
175
63
0
20 May 2023
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