2024
DimA: A Parameter-efficient Fine-tuning Method with Knowledge Transfer Based on Transformer
COLING 2024main
Fine-tuning is a widely used technique for leveraging pre-trained language models (PLMs) in downstream tasks, but it can be computationally expensive and storage-intensive. To address this challenge, researchers have developed parameter-efficient methods that balance performance and resource cost. H…