Shuvam Shiwakoti
Shuvam Shiwakoti has 4 papers in our library, in 2026, most of them on Low-resource languages, Bias, fairness & safety, Vision & language; often with Kritesh Rauniyar, Surendrabikram Thapa, Laxmi Thapa.
OpenAlex · ORCID · h-index 6 · 26 works · 128 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 23 times in our library · ⭐ Paper Stars ranking: #8845
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArtificial Intelligence · 4 worksSocial Sciences · 2 worksComputer Vision and Pattern Recognition · 1 workSociology and Political Science · 2 worksHealth · 1 workArts and Humanities · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 6Research subjects and languages the work is about.Vision & language · 2 worksLow-resource languages · 3 worksBias, fairness & safety · 2 worksSentiment & emotion · 1 workInformation extraction · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- 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. - 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. - 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. - 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
- Kritesh Rauniyar ×4
- Surendrabikram Thapa ×4
- Laxmi Thapa ×3
- Astha Shrestha ×2
- Kristina T Johnson ×2
- Rabin Thapa ×2
- Siddhant Bikram Shah ×2
- Sujal Maharjan ×2
- Surabhi Adhikari ×2
- Sweta Poudel ×2
- Usman Naseem ×2
- Ali Hürriyetoğlu
Venues
- workshop on Challenges in Processing South Asian Languages ×2: workshop on Challenges in Processing South Asian Languages 2026 ×2
- Workshop on Event Extraction and Understanding: Challenges and Applications ×2: Workshop on Event Extraction and Understanding: Challenges and Applications 2026 ×2
Cited by
Updated
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