Giorgos Filandrianos

Optimal and efficient text counterfactuals using Graph Neural Networks

2024 · arXiv (Cornell University)

As NLP models become increasingly integral to decision-making processes, the need for explainability and interpretability has become paramount. In this work, we propose a framework that achieves the aforementioned by generating semantically edited inputs, known …

GOSt-MT: A Knowledge Graph for Occupation-related Gender Biases in Machine Translation

2024 · arXiv (Cornell University)

Gender bias in machine translation (MT) systems poses significant challenges that often result in the reinforcement of harmful stereotypes. Especially in the labour domain where frequently occupations are inaccurately associated with specific genders, such biases …