We are proud to have the following papers co-authored by members of IRLab accepted by Conference on Information and Knowledge Management (CIKM) 2023:

• CLosER: Conversational Legal Longformer with Expertise-Aware Passage Response Ranker for Long Contexts by Arian Askari, Mohammad Aliannejadi, Amin Abolghasemi, Evangelos Kanoulas, Suzan Verberne

• A Test Collection of Synthetic Documents for Training Rankers: ChatGPT vs. Human Experts by Arian Askari, Mohammad Aliannejadi, Evangelos Kanoulas, Suzan Verberne

• Continual Learning for Generative Retrieval over Dynamic Corpora by Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng

• Inducing Causal Structure for Abstractive Text Summarization by Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo and Xueqi Cheng

• Predictive Uncertainty-based Bias Mitigation in Ranking by Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, and Carsten Eickhoff

• Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method by Yuan Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan and Xueqi Cheng

• System Initiative Prediction for Multi-turn Conversational Information Seeking by Chuan Meng, Mohammad Aliannejadi, and Maarten de Rijke

• Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations by Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, and Zhaochun Ren

• DRL4IR: 4th Workshop on Deep Reinforcement Learning for Information Retrieval by Xin Xin, Xiangyu Zhao, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin and Grace Hui Yang