🧑‍🔬 Asma Al Wazrah

🏛️ Affiliations

🎓Imam Mohammad ibn Saud Islamic UniversityRiyadh · Saudi Arabia2021–2023 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

📄 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. KSAA-CAD Shared Task: Contemporary Arabic Dictionary for Reverse Dictionary and Word Sense Disambiguation (2024 · 5 citations)
   KSAA-CAD is the second edition of the King Salman Global Academy's shared task on Contemporary Arabic lexical semantics.
5. KSAA-2026 Shared Task on Arabic Speech Dictation with Automatic Diacritization (2026 · 4 citations)
   The KSAA-2026 shared task, held at OSACT7, targets a long-standing problem in Arabic NLP: restoring full diacritics to text that comes from speech.
6. 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…

🤝 Co-authors here

12 of 22 co-authors with a page, the most papers together first.

• Waad Alshammari ×5
• Abdulrahman AlOsaimy ×4
• Rawan Al-Matham ×4
• Afrah Altamimi ×3
• Amal Almazrua ×3
• Muneera Alhoshan ×3
• Raghad Al-Rasheed ×3
• Hawra Aljasim ×2
• Rawan Almatham ×2
• Abdullah I. Alharbi
• Abdulrahman Saeed Alshehri
• Eman AlBilali

Venues

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

• Arabic Natural Language Processing Conference (ArabicNLP) ×3: ArabicNLP 2025, ArabicNLP 2024, ArabicNLP 2023
• Workshop on NLP for Languages Using Arabic Script ×2: Workshop on NLP for Languages Using Arabic Script 2025 ×2
• Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks: Workshop on Open-Source Arabic Corpora and Processing Tools with Shared Tasks 2026

🔗 Cited by

Papers of our library cite their works 36 times (of the 149,439 papers whose bibliographies we read); 30 citing papers with a page here →.

Updated 1 November 2026

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