14.01.2024

Teaser image to Polyglot machines - How artificial intelligence learns the rich variety of human languages

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)

#research #schuetze

Related

Link to MCML Junior Member Bolei Ma Earns Best Paper and SAC Highlight Awards at ACL 2026

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.

Read more
Link to How autonomous systems learn to understand their environment

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.

Read more
Link to MCML Junior Member Sarah Ball Receives Outstanding Position Paper Award at ICML 2026

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.

Read more
Link to Michael Hedderich Featured in the Deutschlandfunk

07.07.2026

Michael Hedderich Featured in the Deutschlandfunk

Michael Hedderich discusses how Small Language Models can make AI more efficient, sustainable, and accessible in Deutschlandfunk.

Read more
Tiny logo
Link to MCML at ICML 2026

03.07.2026

MCML at ICML 2026

MCML researchers are represented with 82 papers at ICML 2026 (70 Main, and 12 Workshops).

Read more
Back to Top