Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs
Avanti Bhandarkar, Ronald Wilson, Anushka Swarup, Damon Woodard
Abstract
User-centric personalization of text opens many avenues of applications from stylized email composition to machine translation. Existing approaches in this domain often encounter limitations in data and resource requirements. Drawing inspiration from the success of resource-efficient prompt-enabled stylization in related fields, this work conducts the first feasibility into testing 12 pre-trained SOTA LLMs for author style emulation. Although promising, the results suggest that current off-the-shelf LLMs fall short of achieving effective author style emulation. This work provides valuable insights through which off-the-shelf LLMs could be potentially utilized for user-centric personalization easily and at scale.- Anthology ID:
- 2024.personalize-1.6
- Volume:
- Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024)
- Month:
- March
- Year:
- 2024
- Address:
- St. Julians, Malta
- Editors:
- Ameet Deshpande, EunJeong Hwang, Vishvak Murahari, Joon Sung Park, Diyi Yang, Ashish Sabharwal, Karthik Narasimhan, Ashwin Kalyan
- Venues:
- PERSONALIZE | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 76–82
- Language:
- URL:
- https://aclanthology.org/2024.personalize-1.6
- DOI:
- Cite (ACL):
- Avanti Bhandarkar, Ronald Wilson, Anushka Swarup, and Damon Woodard. 2024. Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs. In Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024), pages 76–82, St. Julians, Malta. Association for Computational Linguistics.
- Cite (Informal):
- Emulating Author Style: A Feasibility Study of Prompt-enabled Text Stylization with Off-the-Shelf LLMs (Bhandarkar et al., PERSONALIZE-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.personalize-1.6.pdf