Firehose

This paper creates a benchmark for Telugu spoken question answering, allowing researchers to evaluate models that can understand and respond to questions in Telugu, a high-resource but understudied language. Practitioners working on natural language processing for low-resource languages might care about this work to develop more accurate and culturally sensitive models.