🧑‍🔬 Haithem Kchaou

Topics

Semitic languages2Language models & pretraining1

Papers

The most cited first (OpenAlex and our library).

1. 101 Billion Arabic Words Dataset (2024 · 13 citations)
   The paper tackles the shortage of large, native Arabic text for pretraining language models. Many Arabic LLMs rely on English or translated material, which can introduce bias and weaken authenticity. Following the RefinedWeb idea that well-filtered web data alone can be enough, the authors mined Common Crawl WET…
2. GemmAr: Enhancing LLMs Through Arabic Instruction-Tuning (2024 · 4 citations)
   Open LLMs handle English well but are much weaker in Arabic, largely because there are few Arabic instruction-response datasets for fine-tuning.

Co-authors here

4 co-authors with a page, the most papers together first.

• Chehir Dhaouadi ×2
• Ghaith Chaabane ×2
• Hasna Chouikhi ×2
• Manel Aloui ×2

Cited by

Papers of our library cite their works 16 times (of the 140 884 papers whose bibliographies we read); 4 citing papers with a page here →.

This page in Markdown → https://md.research.elamur.ai/free/en/authors/haithem-kchaou/