PROMISE: Model-Driven Stateful Prompt Orchestration for Persuasive Conversational Interactions

Wenyuan Wu, Jasmin Heierli, Max Meisterhans, Adrian Moser, Andri Färber, Mateusz Dolata, Elena Gavagnin, Alexandre de Spindler, Gerhard Schwabe


Anthology ID:
2024.swisstext-1.37
Volume:
Proceedings of the 9th edition of the Swiss Text Analytics Conference
Month:
June
Year:
2024
Address:
Chur, Switzerland
Editors:
Capol Corsin, Cieliebak Mark, Weichselbraun Albert, Musat Claudiu, Maier Elisabeth, Zimmermann Lucas
Venue:
SwissText
SIG:
SIGSEM
Publisher:
Association for Computational Linguistics
Note:
Pages:
185
Language:
URL:
https://aclanthology.org/2024.swisstext-1.37/
DOI:
Bibkey:
Cite (ACL):
Wenyuan Wu, Jasmin Heierli, Max Meisterhans, Adrian Moser, Andri Färber, Mateusz Dolata, Elena Gavagnin, Alexandre de Spindler, and Gerhard Schwabe. 2024. PROMISE: Model-Driven Stateful Prompt Orchestration for Persuasive Conversational Interactions. In Proceedings of the 9th edition of the Swiss Text Analytics Conference, pages 185–185, Chur, Switzerland. Association for Computational Linguistics.
Cite (Informal):
PROMISE: Model-Driven Stateful Prompt Orchestration for Persuasive Conversational Interactions (Wu et al., SwissText 2024)
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PDF:
https://aclanthology.org/2024.swisstext-1.37.pdf