Papers by Victor Ojewale
Multi-lingual Functional Evaluation for Large Language Models (2026.findings-acl)
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| Challenge: | Multilingual competence in large language models is often evaluated via static data benchmarks such as Belebele, M-MMLU and M-GSM. |
| Approach: | They extend existing functional benchmark templates from English to five additional languages that span the range of resources available for NLP: French, Spanish, Hindi, Arabic and Yoruba. |
| Outcome: | The proposed models are translated from English to French, Spanish, Hindi, Arabic and Yoruba. |