3 papers
cs.CL2026
Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications
Jakob Sturm, Josef Pichlmeier, Christian Bernhard +4
Large Language Models (LLMs) are increasingly employed in enterprise question-answering (QA) systems, requiring adaptation to domain-specific knowledge. Among the most prevalent me…
cs.SE2021
A Serverless Distributed Ledger for Enterprises
Johannes Sedlmeir, Tim Wagner, Emil Djerekarov +3
Enterprises have been attracted by the capability of blockchains to provide a single source of truth for workloads that span companies, geographies, and clouds while retaining the…
stat.ME2017
Estimating functional time series by moving average model fitting
Alexander Aue, Johannes Klepsch
Functional time series have become an integral part of both functional data and time series analysis. Important contributions to methodology, theory and application for the predict…