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Rabin Thapa

Rabin Thapa has 4 papers in our library, in 2025–2026, most of them on Low-resource languages, Bias, fairness & safety, Vision & language; often with Ashish Acharya, Astha Shrestha, Bikram K.C..

4 papers in our library · 2025–2026

OpenAlex · h-index 0 · 8 works · 0 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 4 times in our library · ⭐ Paper Stars ranking: #10634

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

🎓IIMS CollegeKathmandu · Nepal2025–2026 · 7 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 · 4 worksArtificial Intelligence · 4 worksComputer Vision and Pattern Recognition · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 6Research subjects and languages the work is about.Vision & language · 2 worksLow-resource languages · 2 worksBias, fairness & safety · 2 worksInformation extraction · 1 workLanguage models & pretraining · 1 workSentiment & emotion · 1 work

 Works by year

2020s

20263 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Benchmarking Models for Low-Resource Nepali Event Extraction with Trigger Phrase Identification and Event Classification (2026 · 1 citation)
    Event extraction research has focused on high-resource languages, so Nepali has had no dedicated annotated resource for it.
  2. Improving Public Health Safety in Low-Resource Languages Using a Human-Verified Health Misinformation Corpus and Large Language Models (2026 · 1 citation)
    Automatic detection of health misinformation is barely studied for low-resource languages such as Nepali, mainly because trustworthy evaluation data are missing.
  3. Multi-Modal-Minds@CHiPSAL 2026: A Comparative Study of Textual, Visual and Multimodal Architecture for Nepali Meme Moderation (2026 · 1 citation)
    This paper describes the system that the Multi-Modal-Minds team entered in the CHiPSAL 2026 shared task, which focuses on moderating Nepali memes.
  4. MLInitiative at CASE 2025: Multimodal Detection of Hate Speech, Humor,and Stance using Transformers (2025 · 1 citation)
    The paper addresses the automatic analysis of LGBTQ+-themed memes. In such memes, content, including hateful content, is conveyed jointly by the image and the text embedded in it. The authors took part in the CASE@RANLP 2025 shared task, which has four subtasks. The first is hate speech detection. The second is…

 Co-authors here

12 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 4 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated

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