All Stories

  1. Bringing Reasoning to Generative Recommendation Through the Lens of Cascaded Ranking
  2. BordaRAG: Resolving Knowledge Conflict in Retrieval-Augmented Generation via Borda Voting Process
  3. FairDiverse: A Comprehensive Toolkit for Fairness- and Diversity-aware Information Retrieval
  4. LLM-Empowered Creator Simulation for Long-Term Evaluation of Recommender Systems Under Information Asymmetry
  5. Fairness in Information Retrieval from an Economic Perspective
  6. Understanding Accuracy-Fairness Trade-offs in Re-ranking through Elasticity in Economics
  7. Unifying Bias and Unfairness in Information Retrieval: New Challenges in the LLM Era
  8. Guaranteeing Accuracy and Fairness under Fluctuating User Traffic: A Bankruptcy-Inspired Re-ranking Approach
  9. LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops
  10. Bias and Unfairness in Information Retrieval Systems: New Challenges in the LLM Era
  11. A Taxation Perspective for Fair Re-ranking
  12. FairSync: Ensuring Amortized Group Exposure in Distributed Recommendation Retrieval
  13. Uncovering ChatGPT’s Capabilities in Recommender Systems
  14. Syntactic-Informed Graph Networks for Sentence Matching
  15. P-MMF: Provider Max-min Fairness Re-ranking in Recommender System