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Bontu Fufa Balcha

Bontu Fufa Balcha has 2 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, Machine translation, Question answering; often with Atnafu Lambebo Tonja, Chenxi Whitehouse, Chenyang Lyu.

2 papers in our library · 2024–2026

OpenAlex · h-index 2 · 9 works · 5 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 87 times in our library · ⭐ Paper Stars ranking: #8105

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

🎓Addis Ababa UniversityAddis Ababa · Ethiopia2023–2026 · 4 paperscurrent🎓Saarland UniversitySaarbrücken · Germany2024–2025 · 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 · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 6Research subjects and languages the work is about.Evaluation & benchmarks · 2 worksMultilingual & cross-lingual NLP · 1 workQuestion answering · 1 workVision & language · 1 workMachine translation · 1 workSemitic languages · 1 work

 Works by year

2020s

20261 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. CVQA: Culturally-diverse Multilingual Visual Question Answering Benchmark (2024 · 90 citations)
    Most VQA benchmarks are English-only or cover a few major languages. Multilingual ones often translate questions while reusing Western-centric images, so they say little about whether vision-language models understand non-Western cultures. CVQA addresses this with a benchmark built through cross-community…
  2. Evaluating Machine Translation Datasets for Low-Web Data Languages: A Gendered Lens (2026 · 1 citation)
    Most work on low-resourced languages tries to gather ever-larger corpora, but few studies check what those corpora actually contain.

 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 87 times (of the 149,439 papers whose bibliographies we read); 28 citing papers with a page here →.

Updated

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