- Anthology ID:
- 2023.sustainlp-1.7
- 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:
- 110–120
- Language:
- URL:
- https://aclanthology.org/2023.sustainlp-1.7
- DOI:
- 10.18653/v1/2023.sustainlp-1.7
- Cite (ACL):
- Dantong Liu, Kaushik Pavani, and Sunny Dasgupta. 2023. Small is the New Big: Pre-finetuned compact models are better for Asynchronous Active Learning. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 110–120, Toronto, Canada (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- Small is the New Big: Pre-finetuned compact models are better for Asynchronous Active Learning (Liu et al., sustainlp 2023)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2023.sustainlp-1.7.pdf