Papers by Jordi Cabot

1 papers
Testing Low-Resource Language Support in LLMs Using Language Proficiency Exams: the Case of Luxembourgish (2026.findings-eacl)

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Challenge: Large Language Models (LLMs) are used in research and society at large, but are mostly developed with English-speaking users in mind.
Approach: They investigate the viability of language proficiency exams as evaluation tools for Luxembourgish . large models such as Claude and DeepSeek-R1 typically achieve high scores .
Outcome: The proposed models can predict performance in Luxembourgish language tests.

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