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Adam Nohejl

Adam Nohejl has 2 papers in our library, in 2025–2026, most of them on Question answering, Multilingual & cross-lingual NLP, Evaluation & benchmarks; often with David Anugraha, Frederikus Hudi, Genta Indra Winata.

2 papers in our library · 2025–2026

OpenAlex · ORCID · h-index 3 · 27 works · 41 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 55 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #9110

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 · Japan2023–2026 · 10 paperscurrent🔬RIKENWako · Japan2026 · 2 papersEmployment since 2026 · Postdoctoral researcher, Center for Advanced Intelligence Project (AIP)current🎓Hong Kong Polytechnic UniversityHong Kong · China2024–2025 · 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 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 workDevelopmental and Educational Psychology · 1 workPsychology · 1 work

🧭 Topics 4Research subjects and languages the work is about.Evaluation & benchmarks · 1 workMultilingual & cross-lingual NLP · 1 workQuestion answering · 1 workVision & language · 1 work

 Works by year

2020s

20261 paper20251 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. Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult? (2026 · 1 citation)
    The BEA 2026 Shared Task asked teams to predict how hard English words are to produce for learners whose L1 is Chinese, German or Spanish.

All works

3 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. 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
  2. An Extensible Massively Multilingual Lexical Simplification Pipeline Dataset using the MultiLS Framework ↗Proceedings of the 3rd Workshop on Tools and Resources for People with REAding DIfficulties (READI) @ LREC-COLING 2024 · no summary yetMatthew Shardlow et al.2024 · 20 citations
  3. Sakura at BEA 2026 Shared Task 1: What Makes Vocabulary Difficult?Workshop on Innovative Use of NLP for Building Educational Applications (BEA)Adam Nohejl, Xuanxin Wu, Yusuke Ide, et al.2026 · 1 citation

 Co-authors here

6 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 55 times (of the 149,439 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/adam-nohejl/