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:
- Corsin Capol, Mark Cieliebak, Albert Weichselbraun, Claudiu Musat, Elisabeth Maier, Lucas Zimmermann
- Venue:
- SwissText
- SIG:
- SIGSEM
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 185
- Language:
- URL:
- https://preview.aclanthology.org/old-master/2024.swisstext-1.37/
- DOI:
- 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)
- PDF:
- https://preview.aclanthology.org/old-master/2024.swisstext-1.37.pdf