14.01.2024
©Oliver Jung - LMU
Polyglot Machines - How Artificial Intelligence Learns the Rich Variety of Human Languages
Insights From Hinrich Schütze in LMU Research Magazine Einsichten
In this article our PI Hinrich Schütze shares insights into the challenges of automatic translation using AI technology.
The focus lies on the difficulty of training AI models to handle various languages, especially those with limited training data. Professor Schütze also emphasizes current issues such as bias and hallucinations in AI, working on integrating a "Working Memory" to enhance factual accuracy in responses and enable more effective use of AI in language processing.
«In our field, we’re living in fascinating times. Suddenly, intelligences have developed that nobody can really explain.»
(H. Schütze)
Related
09.07.2026
MCML Junior Member Bolei Ma Earns Best Paper and SAC Highlight Awards at ACL 2026
Bolei Ma receives a Best Paper Award and an SAC Highlight Award at ACL 2026 for outstanding contributions to NLP research.
08.07.2026
How Autonomous Systems Learn to Understand Their Environment
The team at the startup SE3 Labs has developed a spatial AI technology that uses images, videos, and map data to create realistic 3D models.
08.07.2026
MCML Junior Member Sarah Ball Receives Outstanding Position Paper Award at ICML 2026
MCML Junior Member Sarah Ball and her co-author Phil Hackemann received the Outstanding Position Paper Award at ICML 2026 this week in Seoul.