Publications

Irina Proskurina, Luc Brun, Guillaume Metzler, Julien Velcin (2024). When Quantization Affects Confidence of Large Language Models?. Findings of the Association for Computational Linguistics: NAACL 2024.

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Caroline Brun, Vassilina Nikoulina (2024). FrenchToxicityPrompts: a Large Benchmark for Evaluating and Mitigating Toxicity in French Texts. Proceedings of TRAC workshop @ LREC-COLING-2024.

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Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Rémi Emonet, Christophe Gravier (2023). Fair Text Classification with Wasserstein Independence. Proceedings of EMNLP.

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Irina Proskurina, Guillaume Metzler, Julien Velcin (2023). Mini Minds: Exploring Bebeshka and Zlata Baby Models. Proceedings of CoNLL.

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Irina Proskurina, Guillaume Metzler, Julien Velcin (2023). The Other Side of Compression: Measuring Bias in Pruned Transformers. Proceedings of IDA.

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Thibaud Leteno, Antoine Gourru, Charlotte Laclau, Christophe Gravier (2023). An Investigation of Structures Responsible for Gender Bias in BERT and DistilBERT. Proceedings of IDA.

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Alireza Mohammadshahi, Vassilina Nikoulina, Caroline Brun (2022). What Do Compressed Multilingual Machine Translation Models Forget?. Findings of EMNLP.

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Alireza Mohammadshahi, Vassilina Nikoulina, Caroline Brun (2022). SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages. Proceedings of EMNLP.

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