3 papers
cs.IR2026
Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction
Florian Geissler, Francesco Carella, Laura Fieback +1
Incorporating specific knowledge into large language models via retrieval-augmented generation (RAG) is a widespread technique that fuels many of today's industry AI applications.…
cs.AI2025
Towards Automated Safety Requirements Derivation Using Agent-based RAG
Balahari Vignesh Balu, Florian Geissler, Francesco Carella +4
We study the automated derivation of safety requirements in a self-driving vehicle use case, leveraging LLMs in combination with agent-based retrieval-augmented generation. Convent…
quant-ph2025
BenchQC -- Scalable and modular benchmarking of industrial quantum computing applications
Florian Geissler, Eric Stopfer, Christian Ufrecht +19
We present BenchQC, a research project funded by the state of Bavaria, which promotes an application-centric perspective for benchmarking real-world quantum applications. Diverse u…