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Clarify, Abstain or Answer? Strategising in Conversation with Belief-Augmented Generation
Joris Baan, Wilker Aziz, Barbara Plank, Raquel Fernández. To appear at the 2026 International Natural Language Generation Conference (INLG).
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan, Raquel Fernández, Barbara Plank, Wilker Aziz. In Proceedings of the 2024 Conference of the European Chapter of the Association for Computational Linguistics (EACL).
Uncertainty in Natural Language Generation: From Theory to Applications Joris Baan, Evgenia Ilia, Nico Daheim, Dennis Ulmer, Haau-Sing Li, Raquel Fernández, Barbara Plank, Rico Sennrich, Chrysoula Zerva, Wilker Aziz. arXiv 2023.
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability Mario Giulianelli, Joris Baan, Wilker Aziz, Raquel Fernández, Barbara Plank. In proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP).
Stop Measuring Calibration When Humans Disagree
Joris Baan, Wilker Aziz, Barbara Plank, Raquel Fernández. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1892–1915, Abu Dhabi, United Arab Emirates, 2022.
Do Transformer Attention Heads Provide Transparency in Abstractive Summarization?
Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke. SIGIR Workshop FACTS-IR 2019.
On the Realization of Compositionality in Neural Networks
Joris Baan, Jana Leible, Mitja Nikolaus, David Rau, Dennis Ulmer, Tim Baumgartner, Dieuwke Hupkes, Elia Bruni. In proceedings of the ACL Workshop BlackboxNLP 2019.
Understanding Multi-head Attention in Abstractive Summarization
Joris Baan, Maartje ter Hoeve, Marlies van der Wees, Anne Schuth, Maarten de Rijke. arXiv 2020.