On the Realization of Compositionality in Neural Networks. - Joris Baan; Jana Leible; Mitja Nikolaus; David Rau; Dennis Ulmer; Tim Baumgärtner; Dieuwke Hupkes; Elia Bruni (BlackboxNLP@ACL, 2019)

Do Transformer Attention Heads Provide Transparency in Abstractive Summarization? - Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke (CoRR, 2019)

Understanding Multi-Head Attention in Abstractive Summarization. - Joris Baan; Maartje ter Hoeve; Marlies van der Wees; Anne Schuth; Maarten de Rijke (CoRR, 2019)

FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval. - Alexandra Olteanu; Jean Garcia-Gathright; Maarten de Rijke; Michael D. Ekstrand; Adam Roegiest; Aldo Lipani; Alex Beutel; Ana Lucic; Ana-Andreea Stoica; Anubrata Das 001; Asia Biega; Bart Voorn; et al. (SIGIR Forum, 2019)

Stop Measuring Calibration When Humans Disagree. - Joris Baan; Wilker Aziz; Barbara Plank; Raquel Fernández (EMNLP, 2022)

What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability. - Mario Giulianelli; Joris Baan; Wilker Aziz; Raquel Fernández; Barbara Plank (EMNLP, 2023)

Uncertainty in Natural Language Generation: From Theory to Applications. - Joris Baan; Nico Daheim; Evgenia Ilia; Dennis Ulmer; Haau-Sing Li; Raquel Fernández; Barbara Plank; Rico Sennrich; Chrysoula Zerva; Wilker Aziz (CoRR, 2023)

Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? - Joris Baan; Raquel Fernández; Barbara Plank; Wilker Aziz (EACL (2), 2024)