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Naquee Rizwan

Naquee Rizwan has 2 papers in our library, in 2025–2026, most of them on Multilingual & cross-lingual NLP, Bias, fairness & safety; often with Abinew Ali Ayele, Animesh Mukherjee, Ashraf Elnagar.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 16 works · 20 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 18 times in our library · ⭐ Paper Stars ranking: #9094

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

🎓Indian Institute of Technology KharagpurKharagpur · India2024–2026 · 13 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 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksArts and Humanities · 1 workLanguage and Linguistics · 1 workSocial Sciences · 1 workComputer Vision and Pattern Recognition · 1 workSociology and Political Science · 1 work

🧭 Topics 2Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workBias, fairness & safety · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Multilingual and Explainable Text Detoxification with Parallel Corpora (2025 · 19 citations)
    Online abusive language remains a problem despite regulation. One remedy is text detoxification, which rewrites offensive text into a neutral version while keeping its meaning. The best systems rely on parallel toxic–neutral pairs, but such data existed for only a few mostly European languages. The authors manually…
  2. STEM TOX: From Collaborative Tags to Fine-Grained Toxic Meme Detection via Entropy-Guided Multi-Task Learning (2026 · 1 citation)
    The paper addresses toxic meme moderation, which is held back by scarce real-world data and by vision-language models that miss contextual cues.

 Co-authors here

7 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 18 times (of the 149,439 papers whose bibliographies we read); 2 citing papers with a page here →.

Updated

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