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
23.10.2026
MCML at EMNLP 2026
MCML researchers are represented with 33 papers at EMNLP 2026 (21 Main, 11 Findings, and 1 Workshop).
15.10.2026
When Flatter Is Not Always Better
In their ICML 2026 paper, MCML researchers show why the flattest regions found during neural network training are not always the best.
