Exploring the Ideas of Meta-Learning and Knowledge Distillation: Core Concepts and Future Development Trends of Large Models
The widespread application of large models across various domains has brought unprecedented possibilities to multiple fields. The integration of meta-learning and knowledge distillation presents a promising solution to issues such as cost and resource consumption caused by the expanding scale of these models.
Authors
- Lingxue Zhao
- Yufei Zhao
- Yinshuang Qin (ORCID: https://orcid.org/0009-0007-8656-3566)
Institutions
- University of Manchester (GB)
- Beijing University of Civil Engineering and Architecture (CN)
- University of Glasgow (GB)
Publication Details
- Journal
- Computer
- Published
- 2025-09-24
- DOI
- https://doi.org/10.1109/mc.2025.3574676
- Primary Topic
- Medical Research and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00