Jinghua Tang

Promoting PLM Fine-Tuning through Consistency Adversarial Training

In recent years, leveraging pre-trained language models (PLMs) to generate embeddings for downstream tasks has achieved remarkable success. To further enhance the adaptability of PLMs to downstream tasks, the prevailing strategy involves incorporating auxiliary tasks as regularization terms, (e.g.,…