Multilingual Question Answering

Multilingual question answering (QA) focuses on building systems that can accurately answer questions posed in multiple languages, aiming to overcome the limitations of English-centric models. Current research emphasizes improving cross-lingual transfer learning, particularly in low-resource scenarios, often employing techniques like self-knowledge distillation and prompt tuning to enhance model performance with limited data. This field is crucial for broadening access to information and fostering inclusivity in natural language processing, with applications ranging from improved search engines to educational tools.