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Shehenaz Hossain

Shehenaz Hossain has 3 papers in our library, in 2025, most of them on Semitic languages, Language models & pretraining, Question answering; often with Haithem Afli, Fouad Shammary.

3 papers in our library · 2025

OpenAlex · h-index 0 · 6 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 5 times in our library · ⭐ Paper Stars ranking: #11777

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

 Affiliations

🔬Munster Technological UniversityCork · Ireland2025 · 2 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.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksPolitical Science and International Relations · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 work

🧭 Topics 5Research subjects and languages the work is about.Semitic languages · 3 worksLanguage models & pretraining · 2 worksMultilingual & cross-lingual NLP · 1 workReasoning · 1 workQuestion answering · 1 work

 Works by year

2020s

20253 papers

 Papers

The most cited first (OpenAlex and our library).

  1. ADAPT–MTU HAI at QIAS2025: Dual-Expert LLM Fine-Tuning and Constrained Decoding for Arabic Islamic Inheritance Reasoning (2025 · 2 citations)
    This paper presents a system entered in the QIAS 2025 shared task, specifically its first subtask. The task is Arabic multiple-choice questions on Islamic inheritance law, with six options (A–F) and one correct answer. Solving the cases means applying fixed fractional shares, exclusion (ḥajb), redistribution (radd)…
  2. Enhancing Dialectal Arabic Intent Detection through Cross-Dialect Multilingual Input Augmentation (2025 · 2 citations)
    Arabic intent detection is difficult because regional dialects differ widely in vocabulary, spelling and structure, and they borrow words from other languages.
  3. ADAPT–MTU HAI at PalmX 2025: Leveraging Full and Parameter-Efficient LLM Fine-Tuning for Arabic Cultural QA (2025 · 1 citation)
    The authors describe their PalmX 2025 entry, a shared task that tests whether LLMs handle Arabic cultural knowledge, posed as four-option multiple-choice questions in Modern Standard Arabic.

 Co-authors here

2 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 5 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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