We are proud to have the following contributions accepted at SIGIR 2024:
Papers
- Philipp Hager, Romain Deffayet, Jean-Michel Renders, Onno Zoeter, and Maarten de Rijke. Unbiased Learning to Rank Meets Reality: Lessons from Baidu’s Large-Scale Search Dataset
- Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Herke van Hoof, and Maarten de Rijke. Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems
- Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, and Maarten de Rijke. Ranked List Truncation for Large Language Model-based Re-Ranking
- Chuan Meng. Query Performance Prediction for Conversational Search and Beyond
- Jingwei Kang, Maarten de Rijke, and Harrie Oosterhuis. Estimating the Hessian Matrix of Ranking Objectives for Stochastic Learning to Rank with Gradient Boosted Trees
- Ming Li, Yuanna Liu, Sami Jullien, Mozhdeh Ariannezhad, Andrew Yates, Mohammad Aliannejadi, and Maarten de Rijke. Are We Really Achieving Better Beyond-Accuracy Performance in Next Basket Recommendation?
- Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, and Flora D. Salim. Large Language Models for Next Point-of-Interest Recommendation
- Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng. Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
- Thilina Rajapakse, Andrew Yates, and Maarten de Rijke. A Study of Negative Sampling Techniques for Dense Passage Retrieval in a Multilingual Setting
- Clemencia Siro, Mohammad Aliannejadi, and Maarten de Rijke. Rethinking the Evaluation of Dialogue Systems: Effects of User Feedback on Crowdworkers and LLMs
- Ali Vardasbi, Maarten de Rijke, Fernando Diaz, and Mostafa Dehghani. The Impact of Group Membership Bias on the Quality and Fairness of Exposure in Ranking
- Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, and Pengjie Ren. Generative Retrieval as Multi-Vector Dense Retrieval
- Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, and Xueqi Cheng. Are Large Language Models Good at Utility Judgments?
- Yuyue Zhao, Jiancan Wu, Xiang Wang, Wei Tang, Dingxian Wang, and Maarten de Rijke. Let Me Do It For You: Towards LLM Empowered Recommendation via Tool Learning
- Mohammad Aliannejadi, Zahra Abbasiantaeb, Shubham Chatterjee, Jeffery Dalton, Leif Azzopardi. iKAT: A Test Collection for Evaluating Conversational and Interactive Knowledge Assistants
Workshops
- Hossein A. Rahmani, Clemencia Siro, Mohammad Aliannejadi, Nick Craswell, Charles L. A. Clarke, Guglielmo Faggioli, Bhaskar Mitra, Paul Thomas, and Emine Yilmaz. Large Language Models for Evaluation in IR (LLM4Eval)
- Gabriel Bénédict, Donald Metzler, Ruqing Zhang, Andrew Yates, and Ziyan Jiang. The Second Workshop on Generative Information Retrieval (Gen-IR@SIGIR24)
- Qingpeng Cai, Xiangyu Zhao, Ling Pan, Xin Xin, Jin Huang, Weinan Zhang, Li Zhao, Dawei Yin, and Grace Hui Yang. The First Workshop on Agent-based Information Retrieval (AgentIR)
- Surya Kallumadi, Yubin Kim, Tracy King, Maarten de Rijke, and Vamsi Salaka. The 2024 SIGIR Workshop on eCommerce (eCom24)
- Bart van den Hurk, Maarten de Rijke, and Flora Salim. First SIGIR 2024 Workshop on Information Retrieval for Climate Impact (MANILA24)
Tutorials
To be announced.
(Bold face indicates IRLab members.)
