Papers by Marouene Addhoum

1 papers
TounsiBench: Benchmarking Large Language Models for Tunisian Arabic (2025.emnlp-main)

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Challenge: a dataset of Tunisian Arabic instructions and prompts is used to evaluate LLMs' ability to understand and generate responses in Tunisia . we assess the quality, correctness, relevance, and dialectal adherence of LLM responses .
Approach: They propose a benchmark for evaluating the capabilities of large language models in Tunisian Arabic . they use a dataset of Tunisia Arabic instructions and prompts to evaluate their models .
Outcome: The proposed model can judge quality, correctness, relevance, and dialectal adherence . the model can also generate a leaderboard for the Tunisian Arabic language .

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