298 citations · 347 across the 14 of their papers we have counts for
4 papers · 2 filters
A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation
Giuseppe Attanasio, Flor Miriam Plaza-del-Arco, Debora Nozza +1
Recent instruction fine-tuned models can solve multiple NLP tasks when prompted to do so, with machine translation (MT) being a prominent use case. However, current research often…
Weigh Your Own Words: Improving Hate Speech Counter Narrative Generation via Attention Regularization
Helena Bonaldi, Giuseppe Attanasio, Debora Nozza +1
Recent computational approaches for combating online hate speech involve the automatic generation of counter narratives by adapting Pretrained Transformer-based Language Models (PL…
Wisdom of Instruction-Tuned Language Model Crowds. Exploring Model Label Variation
Flor Miriam Plaza-del-Arco, Debora Nozza, Dirk Hovy
Large Language Models (LLMs) exhibit remarkable text classification capabilities, excelling in zero- and few-shot learning (ZSL and FSL) scenarios. However, since they are trained…
What about em? How Commercial Machine Translation Fails to Handle (Neo-)Pronouns
Anne Lauscher, Debora Nozza, Archie Crowley +2
As 3rd-person pronoun usage shifts to include novel forms, e.g., neopronouns, we need more research on identity-inclusive NLP. Exclusion is particularly harmful in one of the most…