Several papers co-authored by IRLab-ers have been accepted for publication at the 33rd ACM International Conference on Information and Knowledge Management (CIKM 2024):

• Practical and Robust Safety Guarantees for Advanced Counterfactual Learning to Rank by Shashank Gupta, Harrie Oosterhuis, and Maarten de Rijke.

• Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models by Jia-Hong Huang, Chao-Chun Yang, Yixian Shen, Alessio M. Pacces, and Evangelos Kanoulas

• Ask or Recommend: An Empirical Study on Conversational Product Search by Heli Ma, Jie Zou, Mohammad Aliannejadi, Evangelos Kanoulas, Yi Bin and Yang Yang

• AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings by Clara Rus, Gabrielle Poerwawinata, Andrew Yates, and Maarten de Rijke.

• STAR: Sparse Text Approach for Recommendation. Anna Tigunova, Ghazaleh Haratinezhad Torbati, Gerhard Weikum and Andrew Yates.

• GaQR: An Efficient Generation-augmented Question Rewriter by Jun Yang, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, and Xueqi Cheng.