- Anthology ID:
- 2023.sustainlp-1.6
- 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:
- 91–109
- Language:
- URL:
- https://aclanthology.org/2023.sustainlp-1.6
- DOI:
- 10.18653/v1/2023.sustainlp-1.6
- Cite (ACL):
- Daniel Campos and Chengxiang Zhai. 2023. To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency. In Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing (SustaiNLP), pages 91–109, Toronto, Canada (Hybrid). Association for Computational Linguistics.
- Cite (Informal):
- To Asymmetry and Beyond: Structured Pruning of Sequence to Sequence Models for Improved Inference Efficiency (Campos & Zhai, sustainlp 2023)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2023.sustainlp-1.6.pdf