activity
20232026
most citedLLMs for Science: Usage for Code Generation and Data Analysis

10 citations · 10 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SE2026

Designing Value-Based Platforms: Architectural Strategies Derived from the Digital Markets Act

Fabian Stiehle, Markus Funke, Patricia Lago +1

The digital markets act (DMA) regulates very large digital platforms like Meta's Facebook or Apple's iOS with the goal to promote fairness, contestability (of market power) and use…

cs.SE2025

On LLM-Assisted Generation of Smart Contracts from Business Processes

Fabian Stiehle, Hans Weytjens, Ingo Weber

Large language models (LLMs) have changed the reality of how software is produced. Within the wider software engineering community, among many other purposes, they are explored for…

cs.SE2025

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines

Xiwei Xu, Hans Weytjens, Dawen Zhang +3

Recent studies show that 60% of LLM-based compound systems in enterprise environments leverage some form of retrieval-augmented generation (RAG), which enhances the relevance and a…

cs.SE2024

The Cost of Executing Business Processes on Next-Generation Blockchains: The Case of Algorand

Fabian Stiehle, Ingo Weber

Process (or workflow) execution on blockchain suffers from limited scalability; specifically, costs in the form of transactions fees are a major limitation for employing traditiona…

cs.SE2023★ 10 cited

LLMs for Science: Usage for Code Generation and Data Analysis

Mohamed Nejjar, Luca Zacharias, Fabian Stiehle +1

Large language models (LLMs) have been touted to enable increased productivity in many areas of today's work life. Scientific research as an area of work is no exception: the poten…