2026
Collaborative and Efficient Fine-tuning: Leveraging Task Similarity
ICML 2026poster
*Adaptability* has been regarded as a central feature in the foundation models, enabling them to effectively acclimate to unseen downstream tasks. Parameter-efficient fine-tuning methods such as celebrated LoRA facilitate efficient adaptation of large foundation models using labeled, high-quality an…