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Nora Altwairesh

Nora Altwairesh has 2 papers in our library, in 2021–2024, most of them on Language models & pretraining, Question answering, Evaluation & benchmarks; often with Areeb Alowisheq, Eman Albilali, Faisal Abdulrahman Mirza.

2 papers in our library · 2021–2024

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📄 2 works in our library · 🔗 Cited 74 times in our library · ⭐ Paper Stars ranking: #8432

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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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards (2024 · 74 citations)
    The authors, from NCAI (SDAIA, Riyadh), test whether LLM leaderboards built on multiple-choice question (MCQ) benchmarks can be trusted.
  2. What does BERT Learn from Arabic Machine Reading Comprehension Datasets? (2021 · 2 citations)
    The paper asks whether the high extractive reading comprehension scores of Arabic pre-trained language models reflect real understanding.

 Co-authors here

11 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 74 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

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