6 papers
NeuReasoner: Theory-grounded Mapping of Reasoning Elicitation Boundaries
Aydin Javadov, Shyngys Aitkazinov, Tobias Hoesli +3
A growing body of work suggests that the reasoning capabilities of large language models are largely latent in their base form, with post-training primarily amplifying rather than…
Detecting Drunk Driving Using Off-the-Shelf Smartwatches
Robin Deuber, Lanlan Yang, Michal Bechny +9
Alcohol-impaired driving remains a major yet preventable cause of road traffic injury and death, with many drivers underestimating their level of intoxication. Compared to in-vehic…
PRIMETIME : Limits of LLMs in Temporal Primitives
Edward Gaere, Florian Wangenheim
This paper introduces PRIMETIME, a synthetic generator that supports both benchmarking and fine-tuning of two primitive operations underlying temporal reasoning in Large Language M…
Pre-Clinical Latency Characterization of VRxBioRelax: A Real-Time EMG Biofeedback System for Muscle Relaxation in Virtual Reality
Melanie Baumgartner, Raphael Weibel, Tobias Hoesli +5
Chronic tension in the upper trapezius (UT), often caused by poor ergonomics, prolonged posture, or psychological stress, contributes to musculoskeletal discomfort, headaches, and…
Detecting and Mitigating Group Bias in Heterogeneous Treatment Effects
Joel Persson, Jurriën Bakker, Dennis Bohle +2
Heterogeneous treatment effects (HTEs) are increasingly estimated using machine learning models that produce highly personalized predictions of treatment effects. In practice, howe…
RAxSS: Retrieval-Augmented Sparse Sampling for Explainable Variable-Length Medical Time Series Classification
Aydin Javadov, Samir Garibov, Tobias Hoesli +4
Medical time series analysis is challenging due to data sparsity, noise, and highly variable recording lengths. Prior work has shown that stochastic sparse sampling effectively han…