59 citations · 61 across the 8 of their papers we have counts for
8 papers
I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language Models
Aydin Javadov, Daniel Schoess, Florian von Wangenheim
Vision-language models are increasingly used in settings where some input modalities may be unavailable, yet we know little about whether they can faithfully explain how such missi…
MESSY STREETS: A Benchmark for Geocoding Real-World Addresses
Edward Gaere, Florian von Wangenheim
We introduce MESSY STREETS, a benchmark for evaluating geocoders on verbatim web addresses, with existence verification and controlled measurement of surface-form divergence. Unlik…
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…
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…