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Indika Kahanda

Indika Kahanda has 2 papers in our library, in 2026, most of them on Language models & pretraining; often with Andrea Arikawa, Vishwaa Shah.

2 papers in our library · 2026

OpenAlex · ORCID · Wikidata · h-index 13 · 115 works · 1,466 citations OpenAlex, 2026-10-14

📄 2 works in our library · ⭐ Paper Stars ranking: #12030

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

🎓University of North FloridaJacksonville · United States2020–2026 · 47 paperscurrent🎓Montana State UniversityBozeman · United States2017–2024 · 38 papers🎓Colorado State UniversityFort Collins · United States2015–2016 · 8 papers🎓Purdue University West LafayetteWest Lafayette · United States2009–2024 · 2 papers🎓University of PeradeniyaKandy · Sri Lanka2011–2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 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).Artificial Intelligence · 2 worksComputer Science · 2 worksSocial Sciences · 2 worksSociology and Political Science · 2 worksArts and Humanities · 1 workInformation Systems · 1 workLanguage and Linguistics · 1 work

🧭 Topics 1Research subjects and languages the work is about.Language models & pretraining · 1 work

 Works by year

2020s

20262 papers

 Papers

The most cited first (OpenAlex and our library).

  1. A Multi-View Framework for Cross-Domain Nutrition Misinformation Detection in Social Media (2026)
    Online nutrition misinformation is difficult to catch automatically because it rarely invents facts outright.
  2. When LLMs Disagree with Human Experts: Understanding LLM Annotation Failures in Nutrition Misinformation through Hierarchical Error Analysis using Seed Oil Narratives (2026)
    The paper examines how reliable open LLMs are as annotators of health misinformation in a specialized field, where scientific evidence is nuanced.

 Co-authors here

2 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.

Updated

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