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Tobi Olatunji

Tobi Olatunji has 3 papers in our library, in 2023–2025, most of them on Evaluation & benchmarks, Question answering, Dialogue systems; often with Bonaventure F. P. Dossou, Emmanuel Ayodele, Folafunmi Omofoye.

3 papers in our library · 2023–2025

OpenAlex · ORCID · h-index 6 · 32 works · 274 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 50 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7178

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

🎓Georgia Institute of TechnologyAtlanta · United States2025–2026 · 4 paperscurrent

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSignal Processing · 1 workBiochemistry, Genetics and Molecular Biology · 1 workHealth Informatics · 1 workMedicine · 1 workMolecular Biology · 1 work

🧭 Topics 5Research subjects and languages the work is about.Speech & spoken language · 1 workEvaluation & benchmarks · 2 worksQuestion answering · 1 workDialogue systems · 1 workEnglish · 1 work

 Works by year

2020s

20252 papers20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR (2023 · 45 citations)
    Speech recognition systems now reach near-human accuracy on standard English benchmarks. They still perform poorly on African-accented speech, and no public resource existed for clinical ASR on such accents. This gap matters for African clinicians, who face heavy patient loads and could benefit from dictation tools.…
  2. AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark Dataset (2025 · 22 citations)
    LLMs score well on medical exam benchmarks, but those benchmarks come mostly from Western sources. It is unclear whether the models handle African clinical contexts, regional disease patterns and local varieties of English. To test this, the authors built AfriMed-QA, an English medical QA benchmark covering the whole…
  3. Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond (2025 · 11 citations)
    Speech systems are now common in clinics and call centers, but little is known about how they handle African-accented English in long, spontaneous dialogue.

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. AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASRTransactions of the Association for Computational Linguistics (TACL)Tobi Olatunji, Tejumade Afonja, Aditya Yadavalli, et al.2023 · 45 citations
  2. AfriMed-QA: A Pan-African, Multi-Specialty, Medical Question-Answering Benchmark DatasetAnnual Meeting of the Association for Computational Linguistics (ACL)Charles Nimo, Tobi Olatunji, Abraham Toluwase Owodunni, et al.2025 · 22 citations
  3. Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and BeyondConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Mardhiyah Sanni, Tassallah Abdullahi, Devendra Deepak Kayande, et al.2025 · 11 citations
  4. AfriSpeech-MultiBench: A Verticalized Multidomain Multicountry Benchmark Suite for African Accented English ASR ↗Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics · no summary yetGabrial Zencha Ashungafac et al.2025

 Co-authors here

12 of 14 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 50 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

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