- Anthology ID:
- 2023.sustainlp-1.14
- Volume:
- Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP)
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada (Hybrid)
- Editors:
- Nafise Sadat Moosavi, Iryna Gurevych, Yufang Hou, Gyuwan Kim, Young Jin Kim, Tal Schuster, Ameeta Agrawal
- Venue:
- sustainlp
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 201–211
- Language:
- URL:
- https://aclanthology.org/2023.sustainlp-1.14
- DOI:
- 10.18653/v1/2023.sustainlp-1.14
- Cite (ACL):
- Jay Mohta. 2023. Prompting language models improves performance in imbalanced setting. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 201–211, Toronto, Canada (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Prompting language models improves performance in imbalanced setting (Mohta, sustainlp 2023)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/2023.sustainlp-1.14.pdf