mlsanityData to 14 Oct 2026

PROMISE: A Framework for Developing Complex Conversational Interactions (Technical Report)

arXiv 2312.03699 ↗First posted 6 Dec 2023cs.CLcited by 0

Not on the map. Why?

Abstract (arXiv)

The advent of increasingly powerful language models has raised expectations for language-based 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, a framework that facilitates the development of complex language-based 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 the behavior of language models and thus enables their effective and efficient use. In this technical report we show the benefits of PROMISE in the context of application scenarios within health information systems and demonstrate its ability to handle complex interactions. We also include code examples and present default user interfaces available as part of PROMISE.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 9 of its 21 references that are in the map. First posted on arXiv 6 Dec 2023.

Builds on

9 of 21 references.

References · 9

  1. 2022Chain-of-Thought Prompting Elicits Reasoning in Large Language Modelscited by 12,459
  2. 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 619
  3. 2023Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolutioncited by 551
  4. 2023Navigate through Enigmatic Labyrinth A Survey of Chain of Thought Reasoning: Advances, Frontiers and Futurecited by 184
  5. 2023A Study of Generative Large Language Model for Medical Research and Healthcarecited by 163
  6. 2023Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilitiescited by 82
  7. 2023Natural Language Processing in Electronic Health Records in Relation to Healthcare Decision-making: A Systematic Reviewcited by 25
  8. 2017Iris: A Conversational Agent for Complex Taskscited by 22
  9. 2023Divide et Impera: Multi-Transformer Architectures for Complex NLP-Taskscited by 1

Built on by

Not cited yet.