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Rawan Al-Matham

Rawan Al-Matham has 5 papers in our library, in 2022–2025, most of them on Semitic languages, Evaluation & benchmarks, Language models & pretraining; often with Asma Al Wazrah, Abdulrahman AlOsaimy, Waad Alshammari.

5 papers in our library · 2022–2025

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📄 5 works in our library · 🔗 Cited 28 times in our library · ⭐ Paper Stars ranking: #8371

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Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksComputer Science · 5 worksArts and Humanities · 3 worksLanguage and Linguistics · 3 worksEducation · 1 workSocial Sciences · 1 workBusiness, Management and Accounting · 1 workManagement of Technology and Innovation · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 5 worksEvaluation & benchmarks · 2 worksInformation retrieval & search · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20253 papers20231 paper20221 paper

 Papers

The most cited first (OpenAlex and our library).

  1. BALSAM: A Platform for Benchmarking Arabic Large Language Models (2025 · 14 citations)
    Arabic LLMs still lag behind English ones, and the gap is hard to measure. Most Arabic benchmarks use static public data and cover only a narrow set of capabilities. They also lack a hosted platform with hidden test sets, so training-data contamination is likely and progress is difficult to track. A large consortium…
  2. KSAA-RD Shared Task: Arabic Reverse Dictionary (2023 · 10 citations)
    The paper reports on KSAA-RD, the first shared task on Arabic reverse dictionaries. A reverse dictionary takes a description of a meaning and returns the matching word, which helps with tip-of-the-tongue cases. There were two tracks. In the monolingual RD track, systems read an Arabic gloss. In the cross-lingual CLRD…
  3. Evaluating RAG Pipelines for Arabic Lexical Information Retrieval: A Comparative Study of Embedding and Generation Models (2025 · 6 citations)
    The paper asks how well a retrieval-augmented generation (RAG) pipeline can answer questions about Arabic words, a setting where rich morphology and diacritics make retrieval and generation difficult.
  4. Evaluation of Large Language Models on Arabic Punctuation Prediction (2025 · 1 citation)
    The paper asks how well current large language models restore punctuation in Arabic text. This task matters for cleaning up speech-recognition output and for downstream translation, and had not been tested with LLMs for Arabic. The KSAA team assembled a fresh dataset for predicting where punctuation belongs in Arabic…
  5. Establishing a Baseline for Arabic Patents Classification: A Comparison of Twelve Approaches (2022 · 1 citation)
    Patent offices still assign classification codes by hand, which is slow. Automatic classification has been studied for English, Korean and Chinese, but Arabic had no public labelled corpus. The authors scraped all granted patents from the Saudi Authority of Intellectual Property (SAIP) website and released them as…

 Co-authors here

12 of 17 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 28 times (of the 149,439 papers whose bibliographies we read); 25 citing papers with a page here →.

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