| 2024 | Legal Statute Identification: A Case Study using State-of-the-Art Datasets and Methods. | Shounak Paul, Rajas Bhatt, Pawan Goyal, Saptarshi Ghosh |
| 2024 | "In-Context Learning" or: How I learned to stop worrying and love "Applied Information Retrieval". | Andrew Parry, Debasis Ganguly, Manish Chandra |
| 2024 | Axiomatic Guidance for Efficient and Controlled Neural Search. | Andrew Parry |
| 2024 | Turbo-CF: Matrix Decomposition-Free Graph Filtering for Fast Recommendation. | Jin-Duk Park, Yong-Min Shin, Won-Yong Shin |
| 2024 | SLH-BIA: Short-Long Hawkes Process for Buy It Again Recommendations at Scale. | Rankyung Park, Amit Pande, David Relyea, Pushkar Chennu, Prathyusha Kanmanth Reddy |
| 2024 | Pacer and Runner: Cooperative Learning Framework between Single- and Cross-Domain Sequential Recommendation. | Chung Park, Taesan Kim, Hyungjun Yoon, Junui Hong, Yelim Yu, Mincheol Cho, Minsung Choi, Jaegul Choo |
| 2024 | I3: Intent-Introspective Retrieval Conditioned on Instructions. | Kaihang Pan, Juncheng Li, Wenjie Wang, Hao Fei, Hongye Song, Wei Ji, Jun Lin, Xiaozhong Liu, Tat-Seng Chua, Siliang Tang |
| 2024 | FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction. | Wentao Ouyang, Rui Dong, Ri Tao, Xiangzheng Liu |
| 2024 | On Backbones and Training Regimes for Dense Retrieval in African Languages. | Akintunde Oladipo, Mofetoluwa Adeyemi, Jimmy Lin |
| 2024 | Distance Sampling-based Paraphraser Leveraging ChatGPT for Text Data Manipulation. | Yoori Oh, Yoseob Han, Kyogu Lee |
| 2024 | ScholarNodes: Applying Content-based Filtering to Recommend Interdisciplinary Communities within Scholarly Social Networks. | Md Asaduzzaman Noor, Jason A. Clark, John W. Sheppard |
| 2024 | TriviaHG: A Dataset for Automatic Hint Generation from Factoid Questions. | Jamshid Mozafari, Anubhav Jangra, Adam Jatowt |
| 2024 | A Study on Unsupervised Question and Answer Generation for Legal Information Retrieval and Precedents Understanding. | Johny Moreira, Altigran S. da Silva, Edleno Silva de Moura, Leandro Bezerra Marinho |
| 2024 | Multilingual Meta-Distillation Alignment for Semantic Retrieval. | Meryem M'hamdi, Jonathan May, Franck Dernoncourt, Trung Bui, Seunghyun Yoon |
| 2024 | Ranked List Truncation for Large Language Model-based Re-Ranking. | Chuan Meng, Negar Arabzadeh, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke |
| 2024 | Query Performance Prediction for Conversational Search and Beyond. | Chuan Meng |
| 2024 | Bi-Objective Negative Sampling for Sensitivity-Aware Search. | Jack McKechnie, Graham McDonald, Craig Macdonald |
| 2024 | Prediction of the Realisation of an Information Need: An EEG Study. | Niall McGuire, Yashar Moshfeghi |
| 2024 | On the Evaluation of Machine-Generated Reports. | James Mayfield, Eugene Yang, Dawn J. Lawrie, Sean MacAvaney, Paul McNamee, Douglas W. Oard, Luca Soldaini, Ian Soboroff, Orion Weller, Efsun Selin Kayi, Kate Sanders, Marc Mason, Noah Hibbler |
| 2024 | Fine-Tuning LLaMA for Multi-Stage Text Retrieval. | Xueguang Ma, Liang Wang, Nan Yang, Furu Wei, Jimmy Lin |
| 2024 | Unmasking Privacy: A Reproduction and Evaluation Study of Obfuscation-based Perturbation Techniques for Collaborative Filtering. | Alex Martinez, Mihnea Tufis, Ludovico Boratto |
| 2024 | Dense Retrieval with Continuous Explicit Feedback for Systematic Review Screening Prioritisation. | Xinyu Mao, Shengyao Zhuang, Bevan Koopman, Guido Zuccon |
| 2024 | Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation. | Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang |
| 2024 | Revisiting Document Expansion and Filtering for Effective First-Stage Retrieval. | Watheq Mansour, Shengyao Zhuang, Guido Zuccon, Joel Mackenzie |
| 2024 | Using Large Language Models for Math Information Retrieval. | Behrooz Mansouri, Reihaneh Maarefdoust |