| 2023 | Balanced Knowledge Distillation with Contrastive Learning for Document Re-ranking. | Yingrui Yang, Shanxiu He, Yifan Qiao, Wentai Xie, Tao Yang |
| 2023 | Causal Collaborative Filtering. | Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang |
| 2023 | The Effectiveness of Quantum Random Walk Model in Recommender Systems. | Hiroshi Wayama, Kazunari Sugiyama |
| 2023 | An Analysis of Untargeted Poisoning Attack and Defense Methods for Federated Online Learning to Rank Systems. | Shuyi Wang, Guido Zuccon |
| 2023 | Content-Based Relevance Estimation in Retrieval Settings with Ranking-Incentivized Document Manipulations. | Ziv Vasilisky, Oren Kurland, Moshe Tennenholtz, Fiana Raiber |
| 2023 | Revisiting Condorcet Fusion. | Liron Tyomkin, Oren Kurland |
| 2023 | Learning Aligned Cross-Modal and Cross-Product Embeddings for Generating the Topics of Shopping Needs. | Yi-Ru Tsai, Pu-Jen Cheng |
| 2023 | Entity-Based Relevance Feedback for Document Retrieval. | Eilon Sheetrit, Fiana Raiber, Oren Kurland |
| 2023 | Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering. | Alireza Salemi, Mahta Rafiee, Hamed Zamani |
| 2023 | Evaluating Parrots and Sociopathic Liars (keynote). | Tetsuya Sakai |
| 2023 | Retrieving Webpages Using Online Discussions. | Kevin Ros, Matthew Jin, Jacob Levine, ChengXiang Zhai |
| 2023 | Clarifying Questions in Math Information Retrieval. | Behrooz Mansouri, Zahra Jahedibashiz |
| 2023 | Exploring the Representation Power of SPLADE Models. | Joel Mackenzie, Shengyao Zhuang, Guido Zuccon |
| 2023 | Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning. | Roger Zhe Li, Julin Urbano, Alan Hanjalic |
| 2023 | Outcome-based Evaluation of Systematic Review Automation. | Wojciech Kusa, Guido Zuccon, Petr Knoth, Allan Hanbury |
| 2023 | Automatic Hint Generation. | Adam Jatowt, Calvin Gehrer, Michael Frber |
| 2023 | Hierarchical Transformer-based Query by Multiple Documents. | Zhiqi Huang, Shahrzad Naseri, Hamed R. Bonab, Sheikh Muhammad Sarwar, James Allan |
| 2023 | Dense Retrieval Adaptation using Target Domain Description. | Helia Hashemi, Yong Zhuang, Sachith Sri Ram Kothur, Srivas Prasad, Edgar Meij, W. Bruce Croft |
| 2023 | Conversational Search with Random Walks over Entity Graphs. | Gustavo Gonalves, Joo Magalhes, Jamie Callan |
| 2023 | Towards Query Performance Prediction for Neural Information Retrieval: Challenges and Opportunities. | Guglielmo Faggioli, Thibault Formal, Simon Lupart, Stefano Marchesin, Stphane Clinchant, Nicola Ferro, Benjamin Piwowarski |
| 2023 | Perspectives on Large Language Models for Relevance Judgment. | Guglielmo Faggioli, Laura Dietz, Charles L. A. Clarke, Gianluca Demartini, Matthias Hagen, Claudia Hauff, Noriko Kando, Evangelos Kanoulas, Martin Potthast, Benno Stein, Henning Wachsmuth |
| 2023 | Rank-LIME: Local Model-Agnostic Feature Attribution for Learning to Rank. | Tanya Chowdhury, Razieh Rahimi, James Allan |
| 2023 | Learn to be Fair without Labels: A Distribution-based Learning Framework for Fair Ranking. | Fumian Chen, Hui Fang |
| 2023 | KALE: Using a K-Sparse Projector for Lexical Expansion. | Lus Borges, Bruno Martins, Jamie Callan |
| 2023 | A is for Adele: An Offline Evaluation Metric for Instant Search. | Negar Arabzadeh, Oleksandra Kmet, Ben Carterette, Charles L. A. Clarke, Claudia Hauff, Praveen Chandar |