Michael Ibrahim
Michael Ibrahim has 2 papers in our library, in 2024, most of them on Semitic languages, Sentiment & emotion.
OpenAlex · ORCID · h-index 23 · 183 works · 1,631 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10413
Affiliations
🎓University of PennsylvaniaPhiladelphia ·
United States2015–2026 · 41 papers🎓Imperial College LondonLondon ·
United Kingdom2009–2016 · 60 papers🏥Harefield HospitalLondon ·
United Kingdom2011–2014 · 17 papers🏥Hospital of the University of PennsylvaniaPhiladelphia ·
United States2015–2025 · 16 papers🔬Feinstein Institute for Medical ResearchManhasset ·
United States2018–2023 · 7 papers🏥Pennsylvania HospitalPhiladelphia ·
United States2023 · 4 papers🏥Royal Brompton & Harefield NHS Foundation TrustLondon ·
United Kingdom2011–2018 · 4 papers🏥Northwell HealthNew Hyde Park ·
United States2018–2023 · 3 papers🏥Penn Presbyterian Medical CenterPhiladelphia ·
United States2019–2023 · 3 papers🏥Great Ormond Street HospitalLondon ·
United Kingdom2012–2018 · 3 papers
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 2Research subjects and languages the work is about.Semitic languages · 2 worksSentiment & emotion · 1 work
Works by year
2020s
Papers
- CUFE at StanceEval2024: Arabic Stance Detection with Fine-Tuned Llama-3 Model (2024 · 4 citations)
The paper describes a system for the StanceEval 2024 shared task. Given an Arabic tweet and a target topic, the system decides whether the author is in favor, against, or neutral. The author takes Meta's 8B-parameter Llama-3 and adapts it with parameter-efficient fine-tuning. The base weights are loaded in 4-bit… - CUFE at NADI 2024 shared task: Fine-Tuning Llama-3 To Translate From Arabic Dialects To Modern Standard Arabic (2024 · 2 citations)
This system paper from the NADI 2024 shared task (DA-MSA machine translation subtask) addresses translating sentences from four Arabic dialects (Egyptian, Emirati, Jordanian, Palestinian) into Modern Standard Arabic (MSA).
Venues
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Updated
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