Papers by Emad A. Alghamdi

2 papers
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion (2025.acl-long)

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Challenge: In the evolving landscape of large language models, the predominant focus has been on English and Chinese.
Approach: They propose to utilize Arabic-specific vocabulary in the tokenizer to accelerate decoding.
Outcome: The proposed model achieves decent performance comparable to the best Arabic LLMs across various Arabic benchmarks.
AraTrust: An Evaluation of Trustworthiness for LLMs in Arabic (2025.coling-main)

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Challenge: Existing benchmarks for large language models (LLMs) in Arabic are lacking . despite progress in their development, there is a lack of comprehensive trustworthiness evaluation benchmarks .
Approach: They propose to use Arabic as a language to assess trustworthiness of large language models.
Outcome: The proposed benchmark measures the trustworthiness of large language models in Arabic.

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