Papers by Charlotte Noel

1 papers
EIFFEL: a novel benchmark to measure bias of English heavy training on French idiomatic expressions (2026.acl-long)

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Challenge: Mainstream multilingual models are generally trained on a much higher proportion of English data . this raises questions about their ability to capture linguistic features specific to non-English languages .
Approach: They propose a benchmark to test multilingual LLMs' ability to capture linguistic features in other languages.
Outcome: The proposed benchmark shows that multilingual models can capture features in non-English languages and cultural norms.

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