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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

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

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Title
Bias Testing and Mitigation in Black Box LLMs using Metamorphic Relations Sina Salimian Gias Uddin Sumon Biswas Henry Leung 28 0 0 29 Nov 2025
Multimodal Large Language Models with Adaptive Preference Optimization for Sequential Recommendation Y. Wang Yonghui Yang Le Wu Y. Zhang Richang Hong AI4TS 251 0 0 24 Nov 2025
UFO: Unfair-to-Fair Evolving Mitigates Unfairness in LLM-based Recommender Systems via Self-Play Fine-tuning J. Zhang Yuyuan Li Xiaohua Feng Zhifei Ren Li Zhang Chaochao Chen 74 0 0 23 Nov 2025
LLM Reasoning for Cold-Start Item Recommendation Shijun Li Y. Wang Jin Wang Y. Li Joydeep Ghosh Anne Cocos LRM 44 0 0 23 Nov 2025
Enhance Large Language Models as Recommendation Systems with Collaborative Filtering Zhisheng Yang Xiaofei Xu Ke Deng Li Li 82 0 0 17 Oct 2025
HALF: Harm-Aware LLM Fairness Evaluation Aligned with Deployment Ali Mekky Omar El Herraoui Preslav Nakov Yuxia Wang 175 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 108 0 0 27 Sep 2025
Stairway to Fairness: Connecting Group and Individual FairnessACM Conference on Recommender Systems (RecSys), 2025 Theresia Veronika Rampisela Maria Maistro Tuukka Ruotsalo Falk Scholer Christina Lioma 68 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 144 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 72 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 81 4 0 21 Aug 2025
PerFairX: Is There a Balance Between Fairness and Personality in Large Language Model Recommendations? Chandan Kumar Sah 84 0 0 20 Aug 2025
Evaluating Position Bias in Large Language Model Recommendations Ethan Bito Yongli Ren Estrid He 62 1 0 04 Aug 2025
What LLMs Miss in Recommendations: Bridging the Gap with Retrieval-Augmented Collaborative Signals Shahrooz Pouryousef Ali Montazeralghaem 180 0 0 27 May 2025
AdaptRec: A Self-Adaptive Framework for Sequential Recommendations with Large Language Models Tong Zhang 188 1 0 06 Apr 2025
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations Zihuai Zhao Wenqi Fan Yao Wu Qing Li 329 3 0 05 Apr 2025
Metamorphic Testing for Fairness Evaluation in Large Language Models: Identifying Intersectional Bias in LLaMA and GPTInternational Conference on Software Engineering Research and Applications (ICSERA), 2025 Harishwar Reddy Madhusudan Srinivasan Upulee Kanewala 154 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 464 15 0 31 Mar 2025
CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender SystemACM Transactions on Intelligent Systems and Technology (ACM TIST), 2024 Yashar Deldjoo Tommaso Di Noia 369 37 0 24 Feb 2025
Tapping the Potential of Large Language Models as Recommender Systems: A Comprehensive Framework and Empirical AnalysisACM Transactions on Knowledge Discovery from Data (TKDD), 2024 Lanling Xu Junjie Zhang Bingqian Li Jinpeng Wang Sheng Chen Wayne Xin Zhao Ji-Rong Wen 402 25 0 17 Jan 2025
LangFair: A Python Package for Assessing Bias and Fairness in Large Language Model Use CasesJournal of Open Source Software (JOSS), 2025 Dylan Bouchard Mohit Singh Chauhan David Skarbrevik Viren Bajaj Zeya Ahmad 213 5 0 06 Jan 2025
LEADRE: Multi-Faceted Knowledge Enhanced LLM Empowered Display Advertisement Recommender SystemProceedings 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 233 2 0 21 Nov 2024
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models Eddie L. Ungless Nikolas Vitsakis Zeerak Talat James Garforth Bjorn Ross Arno Onken Atoosa Kasirzadeh Alexandra Birch 242 3 0 17 Oct 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 335 18 0 10 Oct 2024
Stereotype or Personalization? User Identity Biases Chatbot RecommendationsAnnual Meeting of the Association for Computational Linguistics (ACL), 2024 Anjali Kantharuban Jeremiah Milbauer Emma Strubell Emma Strubell Graham Neubig 287 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 366 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 185 13 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 214 2 0 03 Sep 2024
Fairness Definitions in Language Models Explained Thang Viet Doan Zhibo Chu Sribala Vidyadhari Chinta Wenbin Zhang ALM 327 19 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 209 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 183 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 223 6 0 10 Jul 2024
Exploring Safety-Utility Trade-Offs in Personalized Language Models Anvesh Rao Vijjini Somnath Basu Roy Chowdhury Snigdha Chaturvedi 488 15 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 ELM 272 31 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 286 8 0 30 May 2024
The Impossibility of Fair LLMs Jacy Reese Anthis Kristian Lum Michael Ekstrand Avi Feller Alexander D’Amour FaML 402 24 0 28 May 2024
Navigating LLM Ethics: Advancements, Challenges, and Future DirectionsAI and Ethics (AI & Ethics), 2024 Junfeng Jiao S. Afroogh Yiming Xu Connor Phillips AILaw 622 53 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 202 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 53 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 179 40 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 241 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 11 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 258 13 0 08 Jan 2024
Grounding Foundation Models through Federated Transfer Learning: A General FrameworkACM Transactions on Intelligent Systems and Technology (ACM TIST), 2023 Weijing Chen Tao Fan Hanlin Gu Xiaojin Zhang Lixin Fan Qiang Yang AI4CE 460 26 0 29 Nov 2023
CoLLM: Integrating Collaborative Embeddings into Large Language Models for RecommendationIEEE Transactions on Knowledge and Data Engineering (TKDE), 2023 Yang Zhang Fuli Feng Jizhi Zhang Keqin Bao Qifan Wang Xiangnan He 279 133 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 303 38 0 07 Sep 2023
GPTEval: A Survey on Assessments of ChatGPT and GPT-4International Conference on Language Resources and Evaluation (LREC), 2023 Rui Mao Guanyi Chen Xulang Zhang Frank Guerin Xiaoshi Zhong ELM LM&MA 169 143 0 24 Aug 2023
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in RecommendationThe Web Conference (WWW), 2023 Jianghao Lin Rongjie Shan Chenxu Zhu Kounianhua Du Bo Chen Shigang Quan Ruiming Tang Yong Yu Weinan Zhang LRM 544 133 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 237 65 0 11 Aug 2023
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts Yashar Deldjoo 236 25 0 14 Jul 2023