◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Daniel Schuster

2 papers hereh-index 8197 citations17 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author1

Across the 2 of 2 papers where every author was matched, so the position is known.

fields
  • cs.DB2

identity via Semantic Scholar / OpenAlex

collaborators
Showing cs.DBShow all

4 papers · 1 filter

cs.DB2025

Computing Alignments for Partially-ordered Traces Through Petri Net Unfoldings

Ariba Siddiqui, Wil M. P. van der Aalst, Daniel Schuster

Conformance checking techniques aim to provide diagnostics on the conformity between process models and event data. Conventional methods, such as trace alignments, assume strict to…

cs.DB2024

Evaluating Large Language Models on Business Process Modeling: Framework, Benchmark, and Self-Improvement Analysis

Humam Kourani, Alessandro Berti, Daniel Schuster +1

Large Language Models (LLMs) are rapidly transforming various fields, and their potential in Business Process Management (BPM) is substantial. This paper assesses the capabilities…

cs.DB2024

Leveraging Large Language Models for Enhanced Process Model Comprehension

Humam Kourani, Alessandro Berti, Jasmin Hennrich +6

In Business Process Management (BPM), effectively comprehending process models is crucial yet poses significant challenges, particularly as organizations scale and processes become…

cs.DB2024

ProMoAI: Process Modeling with Generative AI

Humam Kourani, Alessandro Berti, Daniel Schuster +1

ProMoAI is a novel tool that leverages Large Language Models (LLMs) to automatically generate process models from textual descriptions, incorporating advanced prompt engineering, e…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.