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Contribution Details

Type Book Chapter
Scope Discipline-based scholarship
Title PROMISE: A Framework for Model-Driven Stateful Prompt Orchestration
Organization Unit
  • Wenyuan Wu
  • Jasmin Heierli
  • Max Meisterhans
  • Adrian Moser
  • Andri Färber
  • Mateusz Dolata
  • Elena Gavagnin
  • Alexandre de Spindler
  • Gerhard Schwabe
  • Shareeful Islam
  • Arnon Sturm
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
Booktitle Intelligent Information Systems
Series Name Lecture Notes in Business Information Processing
ISBN 9783031609992
ISSN 1865-1348
Number 520
Place of Publication Cham
Publisher Springer
Page Range 157 - 165
Date 2024-05-29
Abstract Text The advent of increasingly powerful language models has raised expectations for conversational interactions. However, controlling these models is a challenge, emphasizing the need to be able to investigate the feasibility and value of their application. We present PROMISE (Available at:, a framework that facilitates the development of complex conversational interactions with information systems. Its use of state machine modeling concepts enables model-driven, dynamic prompt orchestration across hierarchically nested states and transitions. This improves the control of language models’ behavior and thus enables their effective and efficient use. We show the applications of PROMISE in health information systems and demonstrate its ability to handle complex interactions.
Digital Object Identifier 10.1007/978-3-031-61000-4_18
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