Sebastian Ruder

SEACrowd aims to improve AI representation for Southeast Asian languages and cultures.

A look at how language confusion affects AI text generation.

Exploring how synthetic data shapes machine learning models and their behavior.

Studying how quantization affects performance in different languages.

BAM enhances MoE efficiency by integrating attention and FFN parameters.

New research highlights challenges in Arabic dialect representation in language models.