How far can the political views of language models be steered?
A paper on how far system-prompt instructions can steer the answers of large language models was presented at AIES 2026 in Malmö.
A paper on how far system-prompt instructions can steer the answers of large language models was presented at AIES 2026 in Malmö.
Dr. Wojciech Cygan (University of Wrocław) visited FER and worked with Stjepan Šebek on fluctuation laws of random walks with drift.
The principal investigator took part in a meeting of European frontier AI safety researchers.
Stjepan Šebek and co-authors improved the bounds on the inradius of the convex hull of planar Brownian motion.
Stjepan Šebek took part in the Korean–Croatian summer probability camp in Dubrovnik.
At Equadiff 2026 in Prague, Domagoj Vlah presented latent-tensor vision transformers for fast and stable prediction of parametric PDE solutions.
The principal investigator took part in an invited HES workshop at Institut Polytechnique de Paris.
A new paper gives closed formulas for the expected perimeter and area of the convex hull of a family of processes between Brownian bridge and Brownian motion.
A paper in Computers & Mathematics with Applications presents reduced order models that use deep neural networks to learn the domain description on their own.
Stjepan Šebek and co-authors computed the exact expected perimeter and area of the convex hull of Brownian motion stopped upon exiting the unit disk.
A four-year project on interpretability and value alignment of large language models started at FER on 1 October 2025.