7 citations · 9 across the 4 of their papers we have counts for
4 papers
Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
Evgenia Ilia, Wilker Aziz
Language models (LMs) are statistical models trained to assign probability to human-generated text. As such, it is reasonable to question whether they approximate linguistic variab…
Interpreting Predictive Probabilities: Model Confidence or Human Label Variation?
Joris Baan, Raquel Fernández, Barbara Plank +1
With the rise of increasingly powerful and user-facing NLP systems, there is growing interest in assessing whether they have a good representation of uncertainty by evaluating the…
Uncertainty in Natural Language Generation: From Theory to Applications
Joris Baan, Nico Daheim, Evgenia Ilia +7
Recent advances of powerful Language Models have allowed Natural Language Generation (NLG) to emerge as an important technology that can not only perform traditional tasks like sum…
VISION DIFFMASK: Faithful Interpretation of Vision Transformers with Differentiable Patch Masking
Angelos Nalmpantis, Apostolos Panagiotopoulos, John Gkountouras +2
The lack of interpretability of the Vision Transformer may hinder its use in critical real-world applications despite its effectiveness. To overcome this issue, we propose a post-h…