9 citations · 12 across the 5 of their papers we have counts for
5 papers
Detection and Measurement of Hailstones with Multimodal Large Language Models
Moritz Alker, David C. Schedl, Andreas Stöckl
This study examines the use of social media and news images to detect and measure hailstones, utilizing pre-trained multimodal large language models. The dataset for this study com…
Machine-Readable Ads: Accessibility and Trust Patterns for AI Web Agents interacting with Online Advertisements
Joel Nitu, Heidrun Mühle, Andreas Stöckl
Autonomous multimodal language models are rapidly evolving into web agents that can browse, click, and purchase items on behalf of users, posing a threat to display advertising des…
Evaluating a Synthetic Image Dataset Generated with Stable Diffusion
Andreas Stöckl
We generate synthetic images with the "Stable Diffusion" image generation model using the Wordnet taxonomy and the definitions of concepts it contains. This synthetic image databas…
Detecting Satire in the News with Machine Learning
Andreas Stöckl
We built models with Logistic Regression and linear Support Vector Machines on a large dataset consisting of regular news articles and news from satirical websites, and showed that…
Similarity measure for Public Persons
Andreas Stöckl
For the webportal "Who is in the News!" with statistics about the appearence of persons in written news we developed an extension, which measures the relationship of public persons…