| 2024 | eRisk 2024: Depression, Anorexia, and Eating Disorder Challenges. | Javier Parapar, Patricia Martn-Rodilla, David E. Losada, Fabio Crestani |
| 2024 | Ranking Distance Metric for Privacy Budget in Distributed Learning of Finite Embedding Data. | Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia |
| 2024 | Absolute Variation Distance: An Inversion Attack Evaluation Metric for Federated Learning. | Georgios Papadopoulos, Yash Satsangi, Shaltiel Eloul, Marco Pistoia |
| 2024 | Countering Mainstream Bias via End-to-End Adaptive Local Learning. | Jinhao Pan, Ziwei Zhu, Jianling Wang, Allen Lin, James Caverlee |
| 2024 | Evaluating the Explainability of Neural Rankers. | Saran Pandian, Debasis Ganguly, Sean MacAvaney |
| 2024 | GLAD: Graph-Based Long-Term Attentive Dynamic Memory for Sequential Recommendation. | Deepanshu Pandey, Arindam Sarkar, Prakash Mandayam Comar |
| 2024 | Estimating Narrative Durations: Proof of Concept. | Mustafa Ocal, Akul Singh, Mark A. Finlayson |
| 2024 | Third Workshop on Augmented Intelligence in Technology-Assisted Review Systems (ALTARS). | Giorgio Maria Di Nunzio, Evangelos Kanoulas, Prasenjit Majumder |
| 2024 | Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control. | Thong Nguyen, Mariya Hendriksen, Andrew Yates, Maarten de Rijke |
| 2024 | A Transformer-Based Object-Centric Approach for Date Estimation of Historical Photographs. | Francesc Net, Nria Hernndez, Adri Molina, Llus Gmez |
| 2024 | BioASQ at CLEF2024: The Twelfth Edition of the Large-Scale Biomedical Semantic Indexing and Question Answering Challenge. | Anastasios Nentidis, Anastasia Krithara, Georgios Paliouras, Martin Krallinger, Luis Gasc Snchez, Salvador Lima-Lpez, Eullia Farr, Natalia V. Loukachevitch, Vera Davydova, Elena Tutubalina |
| 2024 | Displaying Evolving Events Via Hierarchical Information Threads for Sensitivity Review. | Hitarth Narvala, Graham McDonald, Iadh Ounis |
| 2024 | Efficient Multi-vector Dense Retrieval with Bit Vectors. | Franco Maria Nardini, Cosimo Rulli, Rossano Venturini |
| 2024 | News Gathering: Leveraging Transformers to Rank News. | Carlos Muoz, Mara Jos Apolo, Maximiliano Ojeda, Hans Lobel, Marcelo Mendoza |
| 2024 | The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias. | Peter Mllner, Elisabeth Lex, Markus Schedl, Dominik Kowald |
| 2024 | MMCRec: Towards Multi-modal Generative AI in Conversational Recommendation. | Tendai Mukande, Esraa Ali, Annalina Caputo, Ruihai Dong, Noel E. O'Connor |
| 2024 | CMDD: A novel multimodal two-stream CNN deepfakes detector. | Leonardo Mongelli, Luca Maiano, Irene Amerini |
| 2024 | GeoEDdA: A Gold Standard Dataset for Geo-semantic Annotation of Diderot & d'Alembert's Encyclopdie. | Ludovic Moncla, Denis Vigier, Katherine McDonough |
| 2024 | Controllable Decontextualization of Yes/No Question and Answers into Factual Statements. | Lingbo Mo, Besnik Fetahu, Oleg Rokhlenko, Shervin Malmasi |
| 2024 | Experiments in News Bias Detection with Pre-trained Neural Transformers. | Tim Menzner, Jochen L. Leidner |
| 2024 | Knowledge Graph Cross-View Contrastive Learning for Recommendation. | Zeyuan Meng, Iadh Ounis, Craig Macdonald, Zixuan Yi |
| 2024 | KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. | Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz |
| 2024 | Cascading Ranking Pipelines for Sensitivity-Aware Search. | Jack McKechnie |
| 2024 | ROGER: Extracting Narratives Using Large Language Models from Robert Gerstmann's Historical Photo Archive of the Sacambaya Expedition in 1928. | Mauricio Matus, Diego Urrutia, Claudio Meneses, Brian Keith |
| 2024 | A Reproducibility Study of Goldilocks: Just-Right Tuning of BERT for TAR. | Xinyu Mao, Bevan Koopman, Guido Zuccon |