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Laxmi Thapa

Laxmi Thapa has 3 papers in our library, in 2026, most of them on Low-resource languages, Bias, fairness & safety, Vision & language; often with Kritesh Rauniyar, Shuvam Shiwakoti, Surendrabikram Thapa.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 0 · 7 works · 0 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 22 times in our library · ⭐ Paper Stars ranking: #8924

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

🎓O. P. Jindal Global UniversitySonīpat · India2026 · 7 papersEmployment · MBA BAcurrent

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 8The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksSocial Sciences · 2 worksComputer Vision and Pattern Recognition · 1 workSociology and Political Science · 2 worksHealth · 1 workArts and Humanities · 1 workLanguage and Linguistics · 1 work

🧭 Topics 5Research subjects and languages the work is about.Vision & language · 2 worksBias, fairness & safety · 2 worksLow-resource languages · 2 worksSentiment & emotion · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20263 papers

 Papers

The most cited first (OpenAlex and our library).

  1. Multimodal Hate and Sentiment Understanding in Low-Resource Text-Embedded Images for Online Safety and Digital Well-being (2026 · 12 citations)
    This overview paper reports on a CHiPSAL 2026 shared task, held at LREC 2026, on moderating memes in Nepali, a widely spoken language with few resources.
  2. Multimodal Identification of Vaccine Content Stance on Social Media (2026 · 9 citations)
    This paper reports on a shared task, held at the EEUCA 2026 workshop co-located with ACL 2026, on automatically classifying the vaccination stance of social media memes.
  3. 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.

 Co-authors here

12 of 15 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 22 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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