All Stories

  1. Mitigating Bias in Large Language Model Based Question Answering through Causal Front Door Prompting
  2. Explaining Recommendation Fairness from a User/Item Perspective
  3. FairGAN: GANs-based Fairness-aware Learning for Recommendations with Implicit Feedback