Automated assessment of depression from facial dynamics holds promise for scalable mental health monitoring, yet cross-corpus generalization of learned biomarkers remains an open challenge. We present a systematic bidirectional transfer study pairing the EmpkinS-EKSpression randomized controlled trial (RCT; N = 256, SC...
Misha Sadeghi, R. Richer, L. H. Rupp et al.· 0 citations
In this paper, we analyze how Large Language Models (LLMs) employ worldbuilding strategies, focusing on setting as one measurable dimension of storyworld construction. We compare 1,000 AI-generated stories per model in English and German with human-authored fiction from Project Gutenberg. Building on prior work, we ope...
Katrin Rohrbacher, Björn Nieth, Emmanuelle Salin et al.· 0 citations
This work proposes Multi-Hypothesis Normalizing Flow Pose Generator (MH-NFPG), which models pose distributions from radar point clouds using a conditional normalizing flow that transforms a Laplace base distribution into an expressive posterior, generated in parallel through a single forward pass.
J. Mueller, S. Hoefler, D. Zanca et al.· 0 citations
This work proposes a context-aware evaluation framework in which human-likeness is assessed using a two-sample problem between the linguistic feature distribution of a human reference corpus for a given register and a corresponding LLM-generated corpus.
Björn Nieth, Marianna Gracheva, Michaela Mahlberg et al.· arXiv.org· 0 citations
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