262 citations · 316 across the 8 of their papers we have counts for
10 papers
Fetch Me If You Can: A Comprehensive Analysis of Fetch Metadata
Pedro Bernardo, Alex Ploner, Marco Squarcina +2
Effective server-side defenses against cross-site attacks depend on understanding the context in which browser requests are generated. However, servers often lack the information n…
Exposing the Unsaid: Visualizing Hidden LLM Bias through Stochastic Path Aggregation
Matteo Pelossi, Rita Sevastjanova, Thilo Spinner +1
Large Language Models (LLMs) exhibit representational and syntactic biases that are difficult to evaluate due to the stochastic nature of text generation. Standard auditing methods…
BONSAI: A Mixed-Initiative Workspace for Human-AI Co-Development of Visual Analytics Applications
Thilo Spinner, Matthias Miller, Fabian Sperrle-Roth +1
Developing Visual Analytics (VA) applications requires integrating complex machine learning models with expressive interactive interfaces. Developers face a stark trade-off: buildi…
VACP: Visual Analytics Context Protocol
Tobias Stähle, Péter Ferenc Gyarmati, Thilo Spinner +3
The rise of AI agents introduces a fundamental shift in Visual Analytics (VA), in which agents act as a new user group. Current agentic approaches - based on computer vision and ra…
LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections
Rita Sevastjanova, Robin Gerling, Thilo Spinner +1
Large language models (LLMs) represent words through contextual word embeddings encoding different language properties like semantics and syntax. Understanding these properties is…
iNNspector: Visual, Interactive Deep Model Debugging
Thilo Spinner, Daniel Fürst, Mennatallah El-Assady
Deep learning model design, development, and debugging is a process driven by best practices, guidelines, trial-and-error, and the personal experiences of model developers. At mult…