Multilingual Language Model

Multilingual language models (MLLMs) aim to create AI systems capable of understanding and generating text across multiple languages, overcoming the limitations of English-centric models. Current research focuses on improving MLLM performance in low-resource languages, mitigating biases towards dominant languages, and developing techniques for efficient knowledge editing and unlearning to address privacy and ethical concerns. These advancements are crucial for broadening access to AI-powered tools and fostering more equitable and inclusive natural language processing applications globally.