Paper-Conference

Overview of PAN 2025: Voight-Kampff Generative AI Detection, Multilingual Text Detoxification, Multi-Author Writing Style Analysis, and Generative Plagiarism Detection

Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, André Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle

Beyond Algorithms: Reclaiming the Interdisciplinary Roots of Recommender Systems (BEYOND 2025)

This workshop challenges the machine learning-centric focus of modern recommender systems research by reconnecting the field with its …

Eva Zangerle, Alan Said, Christine Bauer

Beyond Top-1: Addressing Inconsistencies in Evaluating Counterfactual Explanations for Recommender Systems

Explainability in recommender systems (RS) remains a pivotal yet challenging research frontier. Among state-of-the-art techniques, …

Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle

Hypergraph-based Temporal Modelling of Repeated Intent for Sequential Recommendation

In sequential recommendation scenarios, user intent is a key driver of consumption behavior. However, consumption intents are usually …

Andreas Peintner, Amir Reza Mohammadi, Michael Müller, Eva Zangerle

Overview of PAN 2025: Generative AI Detection, Multilingual Text Detoxification, Multi-author Writing Style Analysis, and Generative Plagiarism Detection

Janek Bevendorff, Daryna Dementieva, Maik Fröbe, Bela Gipp, Andre Greiner-Petter, Jussi Karlgren, Maximilian Mayerl, Preslav Nakov, Alexander Panchenko, Martin Potthast, Artem Shelmanov, Efstathios Stamatatos, Benno Stein, Yuxia Wang, Matti Wiegmann, Eva Zangerle

Overview of the Multi-Author Writing Style Analysis Task at PAN 2025

Eva Zangerle, Maximilian Mayerl, Martin Potthast, Benno Stein

Quantitative Assessment of GNN Counterfactual Explanation Robustness and Reproducibility under Adversarial Influence

Amir Reza Mohammadi, Michael M. Müller, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht

Yearning for Better Metrics: Revisiting the ReDial Dataset for Evaluating Conversational Recommender Systems

Michael M. Müller, Amir Reza Mohammadi, Andreas Peintner, Beatriz Barroso Gstrein, Eva Zangerle, Günther Specht

Reflections on Recommender Systems: Past, Present, and Future (INTROSPECTIVES)

Alan Said, Christine Bauer, Eva Zangerle

Are We Explaining the Same Recommenders? Incorporating Recommender Performance for Evaluating Explainers

Explainability in recommender systems is both crucial and challenging. Among the state-of-the-art explanation strategies, …

Amir Reza Mohammadi, Andreas Peintner, Michael Müller, Eva Zangerle