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Astha Shrestha

Astha Shrestha has 3 papers in our library, in 2026, most of them on Low-resource languages, Language models & pretraining, Information extraction; often with Sujal Maharjan, Kritesh Rauniyar, Rabin Thapa.

3 papers in our library · 2026

OpenAlex · ORCID · h-index 2 · 17 works · 6 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 3 times in our library · ⭐ Paper Stars ranking: #10823

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 · 4 paperscurrent🏥Civil Service HospitalKathmandu · Nepal2025–2026 · 2 paperscurrent🎓Taylor's UniversitySubang Jaya · Malaysia2026 · 2 paperscurrent🎓Nepal Medical College Teaching HospitalKathmandu · Nepal2018–2025 · 7 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 more institutions on single bylines are not listed.

 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).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksSocial Sciences · 1 workSociology and Political Science · 1 work

🧭 Topics 5Research subjects and languages the work is about.Multilingual & cross-lingual NLP · 1 workLow-resource languages · 2 worksInformation extraction · 1 workBias, fairness & safety · 1 workLanguage models & pretraining · 1 work

 Works by year

2020s

20263 papers

 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. Sagarmatha at SemEval-2026 Task 9: Heterogeneous Ensembling and Hierarchical Task Conditioning for Multilingual Latent Distributional Divergence Modeling (2026 · 1 citation)
    The Sagarmatha team built a system for SemEval-2026 Task 9, which asks models to analyse polarized online discourse in 22 languages at three levels: whether a text is polarized (S1), which polarization types apply (S2), and which rhetorical tactics such as vilification or dehumanization appear (S3).

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

Updated

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