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Ruwad Naswan

Ruwad Naswan has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Speech & spoken language, Low-resource languages.

3 papers in our library · 2025–2026

OpenAlex · h-index 1 · 12 works · 1 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 11 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9676

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

🎓Bangladesh University of Engineering and TechnologyDhaka · Bangladesh2024–2026 · 6 paperscurrent

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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksInformation Systems · 1 workSignal Processing · 1 work

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 1 workLow-resource languages · 1 workSpeech & spoken language · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMs (2025 · 10 citations)
    The paper asks whether Bengali, a widely spoken but data-poor Indo-Aryan language, still needs its own large language model now that English-centric LLMs keep improving on other languages.
  2. ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated Code (2026 · 1 citation)
    The paper describes the ASTraNet team's entry to SemEval-2026 Task 13, which asks systems to tell machine-generated code from human-written code.
  3. Wave2Word@DravidianLangTech 2026: WhisTam: A unified framework for dialect based Tamil speech recognition and classification (2026 · 1 citation)
    Speech recognition for Tamil is hindered by strong regional differences in pronunciation, vocabulary and syntax, and by the small amount of dialect-annotated audio.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Too Late to Train, Too Early To Use? A Study on Necessity and Viability of Low-Resource Bengali LLMsInternational Conference on Computational Linguistics (COLING)Tamzeed Mahfuz, Satak Kumar Dey, Ruwad Naswan, et al.2025 · 10 citations
  2. ASTraNet at SemEval-2026 Task 13: Not All Code Looks the Same: Multi-View Structural and Semantic Detection of Machine-Generated CodeInternational Workshop on Semantic Evaluation (SemEval)Ruwad Naswan, Dipit Saha, Md. Kabir, et al.2026 · 1 citation
  3. Wave2Word@DravidianLangTech 2026: WhisTam: A unified framework for dialect based Tamil speech recognition and classificationWorkshop on Speech, Vision, and Language Technologies for Dravidian LanguagesRuwad Naswan, Shadab Tanjeed Ahmad2026 · 1 citation
  4. When English Rewrites Local Knowledge: Global Narrative Dominance in Large Language Models ↗arXiv:2605.30481 · no summary yetMd Arid Hasan et al.2026

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

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/ruwad-naswan/