Papers by Charlotte Laclau
HISTOIRESMORALES: A French Dataset for Assessing Moral Alignment (2025.naacl-long)
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Thibaud Leteno, Irina Proskurina, Antoine Gourru, Julien Velcin, Charlotte Laclau, Guillaume Metzler, Christophe Gravier
| Challenge: | HistoiresMorales is a dataset based on moralStories in French . it is based upon annotations of moral values within the dataset . |
| Approach: | They propose a dataset in French that aims to align language models with moral values . they use annotations to ensure their alignment with French norms . |
| Outcome: | The proposed dataset guarantees grammatical accuracy and adaptation to the French cultural context. |
Fair Text Classification with Wasserstein Independence (2023.emnlp-main)
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| Challenge: | a novel method for mitigating group fairness in text classification remains an open challenge . a recent paper focuses on the problem of group fair in the domain of natural language processing . |
| Approach: | They propose a method for mitigating group fairness in neural text classification . they use adversarial training to induce Wasserstein independence between representations . |
| Outcome: | The proposed method exhibits a comparable or better fairness-accuracy trade-off compared to existing methods. |