collaborators

8 papers

cs.CL2026

Building an ASR Solution for Training and Assessing Children's Reading

Yacouba Diarra, Nouhoum Souleymane Coulibaly, Mamadou Dembele +2

Automatic speech recognition for children's reading remains underdeveloped for most African languages, including Bambara, despite its potential value for reproducible literacy asse…

cs.CL2026

Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures

Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377

To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…

cs.SD2026

Generative Artificial Intelligence, Musical Heritage and the Construction of Peace Narratives: A Case Study in Mali

Nouhoum Coulibaly, Ousmane Ly, Michael Leventhal +1

This study explores the capacity of generative artificial intelligence (Gen AI) to contribute to the construction of peace narratives and the revitalization of musical heritage in…

cs.CL2026

Listen, Attend, Understand: a Regularization Technique for Stable E2E Speech Translation Training on High Variance labels

Yacouba Diarra, Michael Leventhal

End-to-End Speech Translation often shows slower convergence and worse performance when target transcriptions exhibit high variance and semantic ambiguity. We propose Listen, Atten…

cs.CL2025

Kunnafonidilaw ka Cadeau: an ASR dataset of present-day Bambara

Yacouba Diarra, Panga Azazia Kamate, Nouhoum Souleymane Coulibaly +1

We present Kunkado, a 160-hour Bambara ASR dataset compiled from Malian radio archives to capture present-day spontaneous speech across a wide range of topics. It includes code-swi…

cs.CL2025

Dealing with the Hard Facts of Low-Resource African NLP

Yacouba Diarra, Nouhoum Souleymane Coulibaly, Panga Azazia Kamaté +4

Creating speech datasets, models, and evaluation frameworks for low-resource languages remains challenging given the lack of a broad base of pertinent experience to draw from. This…