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A Universal Prompting Strategy for Extracting Process Model Information
  from Natural Language Text using Large Language Models

A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models

26 July 2024
Julian Neuberger
Lars Ackermann
Han van der Aa
Stefan Jablonski
ArXivPDFHTML

Papers citing "A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models"

3 / 3 papers shown
Title
Assisted Data Annotation for Business Process Information Extraction
  from Textual Documents
Assisted Data Annotation for Business Process Information Extraction from Textual Documents
Julian Neuberger
Han van der Aa
Lars Ackermann
Daniel Buschek
Jannic Herrmann
Stefan Jablonski
21
1
0
02 Oct 2024
Best Practices for Text Annotation with Large Language Models
Best Practices for Text Annotation with Large Language Models
Petter Törnberg
65
17
0
05 Feb 2024
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason W. Wei
Xuezhi Wang
Dale Schuurmans
Maarten Bosma
Brian Ichter
F. Xia
Ed H. Chi
Quoc Le
Denny Zhou
LM&Ro
LRM
AI4CE
ReLM
315
8,261
0
28 Jan 2022
1