CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System

24 February 2025

Papers citing "CFaiRLLM: Consumer Fairness Evaluation in Large-Language Model Recommender System"

7 / 7 papers shown

Title
Toward Holistic Evaluation of Recommender Systems Powered by Generative Models Yashar Deldjoo Nikhil Mehta M. Sathiamoorthy Shuai Zhang Pablo Castells Julian McAuley EGVM ELM 64 1 0 09 Apr 2025
Investigating and Mitigating Stereotype-aware Unfairness in LLM-based Recommendations Zihuai Zhao Wenqi Fan Yao Wu Qing Li 75 1 0 05 Apr 2025
Process-Supervised LLM Recommenders via Flow-guided Tuning Chongming Gao Mengyao Gao Chenxiao Fan Shuai Yuan Wentao Shi Xiangnan He 71 2 0 10 Mar 2025
Fairness of ChatGPT and the Role Of Explainable-Guided Prompts Yashar Deldjoo 81 17 0 14 Jul 2023
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts Akari Asai Mohammadreza Salehi Matthew E. Peters Hannaneh Hajishirzi 120 98 0 24 May 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer Tu Vu Brian Lester Noah Constant Rami Al-Rfou Daniel Matthew Cer VLM LRM 134 276 0 15 Oct 2021
User-oriented Fairness in Recommendation Yunqi Li H. Chen Zuohui Fu Yingqiang Ge Yongfeng Zhang FaML 96 228 0 21 Apr 2021