Ivan Vulić

This study evaluates the effectiveness of different learning approaches in multilingual natural language processing.

A new approach to small, efficient, natural-sounding speech generation.

CALRec framework enhances recommendations using Large Language Models and sequential data.

A new method allows language models to adapt to various tokenizers without retraining.

A new model combines LLMs and machine translation for better language processing.