3 papers
cs.CL2026
Probing Ethical Framework Representations in Large Language Models: Structure, Entanglement, and Methodological Challenges
Weilun Xu, Alexander Rusnak, Frederic Kaplan
When large language models make ethical judgments, do their internal representations distinguish between normative frameworks, or collapse ethics into a single acceptability dimens…
cs.CY2026
Representing Beauty: Towards a Participatory but Objective Latent Aesthetics
Alexander Michael Rusnak
What does it mean for a machine to recognize beauty? While beauty remains a culturally and experientially compelling but philosophically elusive concept, deep learning systems incr…
cs.CV2025
HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering
Alexander Rusnak, Frédéric Kaplan
Traditional 3D scene understanding techniques are generally predicated on hand-annotated label sets, but in recent years a new class of open-vocabulary 3D scene understanding techn…