Marco Braga

AdaKron: An Adapter-based Parameter Efficient Model Tuning with Kronecker Product

The fine-tuning paradigm has been widely adopted to train neural models tailored for specific tasks. However, the recent upsurge of Large Language Models (LLMs), characterized by billions of parameters, has introduced profound computational challenges to the fine-tuning process. This has fueled inte…