3 papers
cs.CL2026
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
cs.CL2025
GeNRe: A French Gender-Neutral Rewriting System Using Collective Nouns
Enzo Doyen, Amalia Todirascu
A significant portion of the textual data used in the field of Natural Language Processing (NLP) exhibits gender biases, particularly due to the use of masculine generics (masculin…
cs.CL2025
Man Made Language Models? Evaluating LLMs' Perpetuation of Masculine Generics Bias
Enzo Doyen, Amalia Todirascu
Instruct-based large language models (LLMs) have been shown to propagate and even amplify gender bias when prompted with contextually constrained instructions (e.g., writing a text…