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Frederikus Hudi

Frederikus Hudi has 3 papers in our library, in 2025–2026, most of them on Low-resource languages, Vision & language, Language models & pretraining; often with Arturo Martínez Peguero, Haruki Sakajo, Justin Vasselli.

3 papers in our library · 2025–2026

OpenAlex · h-index 4 · 27 works · 76 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 134 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7850

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

🎓Nara Institute of Science and TechnologyIkoma · Japan2022–2026 · 10 paperscurrent🎓Monash UniversityMelbourne · Australia2024–2025 · 2 papers🎓Tokyo Institute of TechnologyTokyo · Japan2024–2025 · 2 papers

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 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 6Research subjects and languages the work is about.Vision & language · 2 worksEvaluation & benchmarks · 1 workMultilingual & cross-lingual NLP · 1 workQuestion answering · 1 workLow-resource languages · 2 worksLanguage models & pretraining · 1 work

 Works by year

2020s

20262 papers20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global Cuisines (2025 · 46 citations)
    Vision Language Models (VLMs) often lack culture-specific knowledge, especially outside English and for underrepresented regions.
  2. Measuring Linguistic Competence of LLMs on Indigenous Languages of the Americas (2026 · 1 citation)
    The paper asks how much LLMs actually know about Indigenous languages of the Americas. Existing benchmarks mostly cover high-resource languages or focus narrowly on machine translation. The authors build a prompting-only probing benchmark, with no fine-tuning, from AmericasNLP 2025 Shared Task development data…
  3. Nearest-Neighbor Retrieval for Indigenous Image Captioning (2026 · 1 citation)
    This NAIST paper presents the team's entry for the AmericasNLP 2026 shared task, which focuses on generating image captions in Indigenous languages. The task covers Bribri, Guaraní, Nahuatl, Wixárika, and Yucatec Maya, all of which have very little training data. The authors compare two systems.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. NusaCrowd: Open Source Initiative for Indonesian NLP Resources ↗Findings of the Association for Computational Linguistics: ACL 2023 · no summary yetSamuel Cahyawijaya et al.2023 · 95 citations
  2. WorldCuisines: A Massive-Scale Benchmark for Multilingual and Multicultural Visual Question Answering on Global CuisinesConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Genta Indra Winata, Frederikus Hudi, Patrick Amadeus Irawan, et al.2025 · 46 citations
  3. Measuring Linguistic Competence of LLMs on Indigenous Languages of the AmericasConference of the European Chapter of the Association for Computational Linguistics (EACL)Justin Vasselli, Arturo Martínez Peguero, Frederikus Hudi, et al.2026 · 1 citation
  4. Nearest-Neighbor Retrieval for Indigenous Image CaptioningWorkshop on NLP for Indigenous Languages of the Americas (AmericasNLP)Justin Vasselli, Arturo Martínez Peguero, Shintaro Ozaki, et al.2026 · 1 citation

 Co-authors here

9 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 134 times (of the 149,439 papers whose bibliographies we read); 35 citing papers with a page here →.

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