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.
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📄 2 works in our library · 🔗 Cited 74 times in our library · ⭐ Paper Stars ranking: #8432
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 5Research subjects and languages the work is about.Evaluation & benchmarks · 1 workLanguage models & pretraining · 1 workInterpretability · 1 workQuestion answering · 1 workSemitic languages · 1 work
Works by year
2020s
Papers
- 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. - 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
- Areeb Alowisheq
- Eman Albilali
- Faisal Abdulrahman Mirza
- Haidar Khan
- Hisham Abdullah Alyahya
- M Saiful Bari
- Norah Alzahrani
- Nouf Alotaibi
- Shaykhah Z. Alsubaie
- Sultan Alrashed
- Yazeed Alnumay
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