Novel Approach to Model Merging: Leveraging Multi-Teacher Knowledge Distillation

This ArXiv paper explores a new methodology for model merging, utilizing multi-teacher knowledge distillation to improve performance and efficiency. The approach likely addresses challenges related to integrating knowledge from multiple models, potentially enhancing their overall capabilities.

• •Focuses on a new model merging technique.
• •Utilizes multi-teacher knowledge distillation.
• •Research paper published on ArXiv.