33 citations · 61 across the 42 of their papers we have counts for
51 papers
Can AI Co-Design Structures? An AI Agent for Early-Stage Structural Design
Ricardo Maia Avelino, Mennatallah El-Assady, Tom Van Mele +1
Recent advances in large language models and agentic workflows offer a new paradigm to early-stage structural design translating design intent into structural models. Although text…
Let Me Clarify: Interactive Modeling of Soft Attributes
Steffen Holter, Rita Sevastjanova, Michaela Benk +1
People commonly express preferences through soft attributes such as is interesting,'' which are difficult to operationalize for computational preference modeling. Latent representa…
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…
STRIDE: Automated Evaluation of Text-to-Trajectory Alignment across Diverse Contexts
Wanchun Ni, Tao Qi, Leonel Aguilar +4
Language-conditioned trajectory generation is here, but its evaluation has not kept pace. Existing pedestrian trajectory metrics compare trajectories with real-world human data. Th…
Point, Revise, Review: Grounded Agentic Analysis in Reactive Notebooks with marimo-lens
Péter Ferenc Gyarmati, Trevor Manz, Dominik Moritz +1
In a computational notebook, a human can point to a rendered result and ask about "this," while an agent acts through cells, dependencies, and runtime state. When what the human se…
MIVAIS: A Study Environment for Multi-Agent Mixed-Initiative Visual Analytics Applications
Tobias Stähle, Simon Schneider, Rita Sevastjanova +1
Mixed-initiative Visual Analytics (VA) systems empower human users by interleaving human intuition with software agents and their machine intelligence. However, the development and…
Creativity from Friction: Human-AI Interaction for Exploratory Structural Design
Ricardo Maia Avelino, Rita Sevastjanova, Tom Van Mele +2
AI agents that generate final answers based on user input often do not meet the needs of creative fields. Fields such as structural design and architecture need interactive systems…
GeoXplain: On-the-Fly Visual Explanations for Weather Foundation Models
Clemens Walter Koprolin, Leonardo Trentini, Benedikt Soja +2
Weather and climate foundation models produce high-dimensional forecasts whose learned relationships are difficult to inspect with static plots alone. GeoXplain is an interactive P…
From Interaction to Intent: Inferring User Objectives from Provenance Logs
Steffen Holter, Tobias Stähle, Arpit Narechania +1
The ability to automatically infer analytic intent from user interaction histories could enable interactive AI systems to proactively assist users during exploratory data analysis.…
Building Fast, Evaluating Slow: Pipeline Choices Dominate Autointerpretability Score Variance
Sinie van der Ben, Neele Roch, Anna Hedström +1
Cross-paper comparison of sparse autoencoder (SAE) interpretability often relies on autointerpretability scores. In this evaluation pipeline, a language model (LM) explains each fe…
Where Do Models Find Happiness? Emotion Vectors in Open-Source LLMs
Sinie van der Ben, Raphaël Baur, Yannick Metz +1
Recent work identified emotion vectors in Claude Sonnet 4.5, which are internal representations that encode emotion concepts, causally influence behavior, and exhibit geometry mirr…
Reshaping Undergraduate Computer Science Education in the Generative AI Era
Yi-Chieh Lee, Nattapat Boonprakong, Yugin Tan +20
Generative AI represents a turning point for Computer Science (CS) education. In recent decades, post-secondary CS education has largely focused on what has been seen as practical…
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…
Do we have the knowledge we need? Rethinking human-AI decision-making in corporations
Anne S. R. Marx, Ricardo M. Avelino, Torbjørn Netland +1
Organizational knowledge is fragmented across a variety of software systems, tacit expertise, and manual documents that have traditionally been designed for human consumption. As A…
TopoAlign: Topology-Aware Visual Representation Alignment
Xinyuan Yan, Rita Sevastjanova, Mennatallah El-Assady +1
Neural networks encode inputs as high-dimensional vectors, known as representations, that capture how models process data by encoding task-relevant structure and semantics. Represe…
GEMS -- Guided Evolutionary Molecule Design for Sustainable Chemicals
Coelina Robinson, Franziska Weissbach, Kjell Jorner +2
Designing safe and sustainable chemicals is critical to combat chemical pollution in our environment. Computational and AI-assisted methods have been developed to aid de novo molec…
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…
Cross-Cultural Simulation of Citizen Emotional Responses to Bureaucratic Red Tape Using LLM Agents
Wanchun Ni, Jiugeng Sun, Yixian Liu +1
Improving policymaking is a central concern in public administration. Prior human subject studies reveal substantial cross-cultural differences in citizens' emotional responses to…
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…
RAWR: Reward Assignment Without Rollouts in Verifiable Domains
Corentin Royer, Debarun Bhattacharjya, Anna Hedström +3
Understanding and evaluating multi-step reasoning in LLMs at the level of individual steps remains a key challenge. Process reward models (PRMs) provide a solution by scoring each…
PleaSQLarify: Visual Pragmatic Repair for Natural Language Database Querying
Robin Shing Moon Chan, Rita Sevastjanova, Mennatallah El-Assady
Natural language database interfaces broaden data access, yet they remain brittle under input ambiguity. Standard approaches often collapse uncertainty into a single query, offerin…
MAVRL: Learning Reward Functions from Multiple Feedback Types with Amortized Variational Inference
Raphaël Baur, Yannick Metz, Maria Gkoulta +3
Reward learning typically relies on a single feedback type or combines multiple feedback types using manually weighted loss terms. Currently, it remains unclear how to jointly lear…
A Design Space for Intelligent Agents in Mixed-Initiative Visual Analytics
Tobias Stähle, Matthijs Jansen op de Haar, Sophia Boyer +3
Mixed-initiative visual analytics (VA) systems, where human and artificial intelligence (AI) agents collaborate as equal partners during analysis, represented a paradigm shift in h…
SemanticTours: A Conceptual Framework for Non-Linear, Knowledge Graph-Driven Data Tours
Daniel Fürst, Matthijs Jansen op de Haar, Mennatallah El-Assady +2
Interactive tours help users explore datasets and provide onboarding. They rely on a linear sequence of views, showing a curated set of relevant data selections and introduce user…