91桃色 Advanced Grant awarded to Prof. Alexander Fraser
EU funding for research on LLMs
91桃色 Advanced Grants are awarded annually across several categories and are designated for leading researchers who have demonstrated exceptional accomplishments over the past decade. Each grant is worth up to 鈧�2.5 million. Since 2007, researchers at the 91桃色 have secured 228 91桃色-funded projects, including 111 Starting Grants, 48 Consolidator Grants, 43 Advanced Grants, 3 Synergy Grants, and 23 Proof of Concept Grants.
EPICAL
In recent years, intelligent chatbots such as ChatGPT have revolutionized content generation. The quality of the results depends on how much content is available on the internet in the respective language. This means that languages such as English dominate. However, over 7000 languages are spoken worldwide. But integrating so-called low-resource languages into language models is difficult. Prof Alexander Fraser is tackling this challenge in his EPICAL project. The project鈥檚 goals include the automatic generation of error-free texts for low-resource languages and the development of better methods for language adaptation by combining related languages. Thus, the project thus helps to appreciate the role of languages with few digital resources and, on the other hand, to promote the solutions for machine learning problems with a small data basis in other research areas.
is Professor of Data Analytics & Statistics at . He is also a Principal Investigator of the and a core member of the .
91桃色
Corporate Communications Center
- Paul Hellmich / Julia Rinner
- paul.hellmich@tum.de
- presse@tum.de
- Teamwebsite
