11 citations · 12 across the 9 of their papers we have counts for
10 papers · 1 filter
LLM-as-a-Demographic: Whom Sociodemographic Prompting Helps, and Whom It Hurts
Daniela Occhipinti, Andrea Piergentili, Marco Guerini
Large language models (LLMs) are increasingly used as judges for subjective tasks, where annotators disagree and the relevant question is not only how accurate a judge is, but whos…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
Gender-Neutral Rewriting in Italian: Models, Approaches, and Trade-offs
Andrea Piergentili, Beatrice Savoldi, Matteo Negri +1
Gender-neutral rewriting (GNR) aims to reformulate text to eliminate unnecessary gender specifications while preserving meaning, a particularly challenging task in grammatical-gend…
An LLM-as-a-judge Approach for Scalable Gender-Neutral Translation Evaluation
Andrea Piergentili, Beatrice Savoldi, Matteo Negri +1
Gender-neutral translation (GNT) aims to avoid expressing the gender of human referents when the source text lacks explicit cues about the gender of those referents. Evaluating GNT…
Mind the Inclusivity Gap: Multilingual Gender-Neutral Translation Evaluation with mGeNTE
Beatrice Savoldi, Giuseppe Attanasio, Eleonora Cupin +7
Avoiding the propagation of undue (binary) gender inferences and default masculine language remains a key challenge towards inclusive multilingual technologies, particularly when t…
GFG -- Gender-Fair Generation: A CALAMITA Challenge
Simona Frenda, Andrea Piergentili, Beatrice Savoldi +7
Gender-fair language aims at promoting gender equality by using terms and expressions that include all identities and avoid reinforcing gender stereotypes. Implementing gender-fair…
Enhancing Gender-Inclusive Machine Translation with Neomorphemes and Large Language Models
Andrea Piergentili, Beatrice Savoldi, Matteo Negri +1
Machine translation (MT) models are known to suffer from gender bias, especially when translating into languages with extensive gendered morphology. Accordingly, they still fall sh…
A Prompt Response to the Demand for Automatic Gender-Neutral Translation
Beatrice Savoldi, Andrea Piergentili, Dennis Fucci +2
Gender-neutral translation (GNT) that avoids biased and undue binary assumptions is a pivotal challenge for the creation of more inclusive translation technologies. Advancements fo…
Hi Guys or Hi Folks? Benchmarking Gender-Neutral Machine Translation with the GeNTE Corpus
Andrea Piergentili, Beatrice Savoldi, Dennis Fucci +2
Gender inequality is embedded in our communication practices and perpetuated in translation technologies. This becomes particularly apparent when translating into grammatical gende…
Gender Neutralization for an Inclusive Machine Translation: from Theoretical Foundations to Open Challenges
Andrea Piergentili, Dennis Fucci, Beatrice Savoldi +2
Gender inclusivity in language technologies has become a prominent research topic. In this study, we explore gender-neutral translation (GNT) as a form of gender inclusivity and a…