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Joris Baan
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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
452021
Stop measuring calibration when humans disagree
J Baan, W Aziz, B Plank, R Fernandez
EMNLP 2022, 2022
282022
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
252019
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
222019
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
202023
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
162019
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
92023
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
J Baan, R Fernández, B Plank, W Aziz
arXiv preprint arXiv:2402.16102, 2024
32024
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
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