Liqing Cui

When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario

Large pre-trained language models (PLMs) have garnered significant attention for their versatility and potential for solving a wide spectrum of natural language processing (NLP) tasks. However, the cost of running these PLMs may be prohibitive. Furthermore, PLMs may not be open-sourced due to commer…