3 citations · 4 across the 8 of their papers we have counts for
9 papers
The Pushback Paradox: A Two-Probe Diagnostic for Language Model Compliance
Stefan Bühler, David Exler, Markus Reischl +1
Are language models compliant with user instructions? A model that always complies can be stopped but also exploited, while one that always resists can be neither exploited nor sto…
SANE Schema-aware Natural-language Evaluation of Biological Data
Rolf Gattung, Martin Krueger, Markus Reischl
High-throughput microscopy generates large, structured datasets capturing cellular responses to pharmacological perturbations, but accessing these datasets typically requires SQL e…
Bayesian Optimization for Design Parameters of 3D Image Data Analysis
David Exler, Joaquin Eduardo Urrutia Gómez, Martin Krüger +5
Deep learning-based segmentation and classification are crucial to large-scale biomedical imaging, particularly for 3D data, where manual analysis is impractical. Although many met…
Learning to Detect Label Errors by Making Them: A Method for Segmentation and Object Detection Datasets
Sarina Penquitt, Tobias Riedlinger, Timo Heller +2
Recently, detection of label errors and improvement of label quality in datasets for supervised learning tasks has become an increasingly important goal in both research and indust…
Large Means Left: Political Bias in Large Language Models Increases with Their Number of Parameters
David Exler, Mark Schutera, Markus Reischl +1
With the increasing prevalence of artificial intelligence, careful evaluation of inherent biases needs to be conducted to form the basis for alleviating the effects these predispos…
Energy-Based Prior Latent Space Diffusion model for Reconstruction of Lumbar Vertebrae from Thick Slice MRI
Yanke Wang, Yolanne Y. R. Lee, Aurelio Dolfini +3
Lumbar spine problems are ubiquitous, motivating research into targeted imaging for treatment planning and guided interventions. While high resolution and high contrast CT has been…
Improving 3D deep learning segmentation with biophysically motivated cell synthesis
Roman Bruch, Mario Vitacolonna, Elina Nürnberg +3
Biomedical research increasingly relies on 3D cell culture models and AI-based analysis can potentially facilitate a detailed and accurate feature extraction on a single-cell level…
PERSONA: A Reproducible Testbed for Pluralistic Alignment
Louis Castricato, Nathan Lile, Rafael Rafailov +2
The rapid advancement of language models (LMs) necessitates robust alignment with diverse user values. However, current preference optimization approaches often fail to capture the…
Assessing Political Bias in Large Language Models
Luca Rettenberger, Markus Reischl, Mark Schutera
The assessment of bias within Large Language Models (LLMs) has emerged as a critical concern in the contemporary discourse surrounding Artificial Intelligence (AI) in the context o…