PhD Studentship: Adaptive Large Language Models for Low-Resource Languages: Bridging the Global Digital Language Divide
This PhD studentship focuses on developing adaptive large language models that learn efficiently from limited data by leveraging linguistic structure. The research will design AI architectures that allocate resources based on a language’s grammatical and typological complexity, rather than corpus size, and will be tested across diverse low-resource languages. The candidate will collaborate with native speaker communities to ensure cultural appropriateness and robustness beyond standard metrics.