70 citations · 95 across the 28 of their papers we have counts for
5 papers · 1 filter
Accuracy and Robustness of Model Cascades Under Data Perturbations
Pallavi Mitra, Jai Kushwaha, Felix Biessmann
Prediction cascades significantly reduce energy consumption of Artificial Intelligence (AI) models while maintaining high predictive performance. The idea is that easy inputs are r…
Evaluating Structured Information Extraction with Open Models in a High Risk Public Sector Application
Elias Schubert, Felix Bießmann
The extraction of structured information from unstructured documents represents a critical component of digital transformations in all sectors. While proprietary solutions dominate…
Redakto - The Incognito Tab for LLMs
Saurav Kumar Saha, Tom Röhr, Felix Bießmann
Large Language Models (LLMs) are being increasingly used in everyday applications. A major challenge in the context of LLMs or Artificial Intelligence (AI) in general is to ensure…
A Resilient Solution for Sewer Overflow Monitoring across Cloud and Edge
Vipin Singh, Tianheng Ling, Peter Ghaly +3
Aging combined sewer systems in many historical cities are increasingly stressed by extreme rainfall events, which can trigger combined sewer overflows (CSO) with significant envir…
A Turing Test for Transparency
Felix Biessmann, Viktor Treu
A central goal of explainable artificial intelligence (XAI) is to improve the trust relationship in human-AI interaction. One assumption underlying research in transparent AI syste…