FACTS-IR: fairness, accountability, confidentiality, transparency, and safety in information retrieval A Olteanu, J Garcia-Gathright, M de Rijke, MD Ekstrand, A Roegiest, ... ACM SIGIR Forum 53 (2), 20-43, 2021 | 45 | 2021 |
Stop measuring calibration when humans disagree J Baan, W Aziz, B Plank, R Fernandez EMNLP 2022, 2022 | 28 | 2022 |
Understanding multi-head attention in abstractive summarization J Baan, M ter Hoeve, M van der Wees, A Schuth, M de Rijke arXiv preprint arXiv:1911.03898, 2019 | 25 | 2019 |
Do transformer attention heads provide transparency in abstractive summarization? J Baan, M ter Hoeve, M van der Wees, A Schuth, M de Rijke FACTS-IR @ SIGIR 2019, 2019 | 22 | 2019 |
Uncertainty in natural language generation: From theory to applications J Baan, N Daheim, E Ilia, D Ulmer, HS Li, R Fernández, B Plank, ... arXiv preprint arXiv:2307.15703, 2023 | 20 | 2023 |
On the realization of compositionality in neural networks J Baan, J Leible, M Nikolaus, D Rau, D Ulmer, T Baumgärtner, D Hupkes, ... BlackboxNLP @ ACL 2019, 2019 | 16 | 2019 |
What Comes Next? Evaluating Uncertainty in Neural Text Generators Against Human Production Variability M Giulianelli, J Baan, W Aziz, R Fernández, B Plank EMNLP 2023, 2023 | 9 | 2023 |
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation? J Baan, R Fernández, B Plank, W Aziz arXiv preprint arXiv:2402.16102, 2024 | 3 | 2024 |
Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024) R Vázquez, H Celikkanat, D Ulmer, J Tiedemann, S Swayamdipta, W Aziz, ... Proceedings of the 1st Workshop on Uncertainty-Aware NLP (UncertaiNLP 2024), 2024 | | 2024 |