Tannon Kew

Tannon Kew finished his PhD at the University of Zurich in December 2024. His research focused on controlling text generation from pretrained language models and covered a range of application areas, including review response generation, text simplification, and improving the multilingual capabilities of state-of-the-art chatbots. Prior to starting his PhD, Tannon obtained a Master's degree in Multilingual Text Analysis. This allowed him to combine his passion for languages with computational processing and gave him the opportunity to work on a diverse set of challenging tasks including multilingual corpus construction and speech-to-text for Swiss German. His research interests include: 

• Text Generation
• Large (and small) Language Models
• Language Model Development and Prompt Engineering
• Chatbots and Dialogue Modelling
• Text Simplification
• Machine Translation
• Machine Learning for Natural Language Processing
• Semi-Supervised and Self-Supervised Methods
• Automatic Content Analysis