18.08.2025
Mingyang Wang Receives Award at ACL 2025
Award for Impactful Contribution to Reliable and Inclusive NLP
MCML Junior Member Mingyang Wang has been honored with the SAC Highlights Award at ACL 2025 for the paper “Lost in Multilinguality: Dissecting Cross-lingual Factual Inconsistency in Transformer Language Models.”
This award recognizes impactful research advancing the understanding of factual consistency across languages in large language models, contributing to more reliable and inclusive NLP systems.
Congratulations from us!
18.08.2025
Related
01.09.2025
AI for Personalized Psychiatry - With Researcher Clara Vetter
AI research by Clara Vetter uses brain, genetic and smartphone data to personalize psychiatry and improve diagnosis and treatment.
25.08.2025
Satellite Insights for a Sustainable Future - With Researcher Ivica Obadic
AI from satellite imagery helps design livable cities, improve well-being & food systems with transparent models by Ivica Obadić.
18.08.2025
Digital Twins for Surgery - With Researcher Azade Farshad
Azade Farshad develops patient digital twins at TUM & MCML to improve personalized treatment, surgical planning, and training.
13.08.2025
From Physics Dreams to Algorithm Discovery - With Niki Kilbertus
Niki Kilbertus develops AI algorithms to uncover cause and effect, making science smarter and decisions in fields like medicine more reliable.
