Elamur Research⌕
☰
home / authors / Raghad Al-Rasheed

Raghad Al-Rasheed

Raghad Al-Rasheed has 3 papers in our library, in 2025–2026, most of them on Semitic languages, Speech & spoken language, Evaluation & benchmarks; often with Asma Al Wazrah, Amal Almazrua, Muneera Alhoshan.

3 papers in our library · 2025–2026

No OpenAlex profile matched yet.

📄 3 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #8794

The profile is the library's match of the name; two people with one name are not always told apart.

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 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksComputer Science · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksEducation · 1 workSocial Sciences · 1 work

🧭 Topics 4Research subjects and languages the work is about.Semitic languages · 3 worksSpeech & spoken language · 1 workEvaluation & benchmarks · 1 workInformation retrieval & search · 1 work

 Works by year

2020s

20261 paper20252 papers

 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. 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.
  3. 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.

 Co-authors here

12 of 19 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 22 times (of the 149,439 papers whose bibliographies we read); 21 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/raghad-al-rasheed/