Papers by Kelechi Ezema

3 papers
AfriVox: Probing Multilingual and Accent Robustness of Speech LLMs (2026.eacl-long)

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Challenge: Recent advances in multimodal and speech-native large language models have delivered impressive speech recognition, translation, understanding, and question-answering capabilities for high-resource languages.
Approach: They propose to benchmark African languages and African-accented French, Arabic, and 100+ African English accents across 20 African languages.
Outcome: The proposed model outperforms traditional speech transcription and translation models in African languages and non-native French or English accents.
AfriMMT-EA: Multi-domain Machine Translation for Low-Resource East African Languages (2026.findings-eacl)

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Challenge: Recent advances in open-source large language models have demonstrated strong multilingual capabilities through data-efficient adaptation strategies.
Approach: They propose to use AfriMMT-EA to refine two multilingual versions of Gemma-3 to better understand the region's linguistic and cultural diversity.
Outcome: The proposed datasets comprise 54 local languages across five East African countries.
Linguistic Alignment Predicts Learning in Small Group Tutoring Sessions (2025.findings-emnlp)

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Challenge: Cognitive science offers rich theories of learning and communication, yet these are often difficult to operationalize at scale.
Approach: They investigate linguistic alignment in a longitudinal dataset of real-world tutoring interactions and associated student test scores.
Outcome: The proposed method can be applied to real-world tutoring interactions and student test scores.

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