214 citations · 1k across the 16 of their papers we have counts for
Showing 2023Show all
3 papers · 1 filter
cs.LG2023★ 11 cited
Fairness of ChatGPT
Yunqi Li, Lanjing Zhang, Yongfeng Zhang
Understanding and addressing unfairness in LLMs are crucial for responsible AI deployment. However, there is a limited number of quantitative analyses and in-depth studies regardin…
cs.IR2023★ 4 cited
Transferable Fairness for Cold-Start Recommendation
Yunqi Li, Dingxian Wang, Hanxiong Chen +1
With the increasing use and impact of recommender systems in our daily lives, how to achieve fairness in recommendation has become an important problem. Previous works on fairness-…
cs.IR2023★ 10 cited
Causal Inference for Recommendation: Foundations, Methods and Applications
Shuyuan Xu, Jianchao Ji, Yunqi Li +3
Recommender systems are important and powerful tools for various personalized services. Traditionally, these systems use data mining and machine learning techniques to make recomme…