NLP

Fine-tuning vs Prompting, Can Language Models Understand Human Values?
In this project, the use of PLMs as extractors and the end-to-end fine-tuning approach (prompt tuning, etc.) are compared to validate the comprehension capabilities of PLMs at different scales in understanding human values.
Fine-tuning vs Prompting, Can Language Models Understand Human Values?
BERT Based Sentiment Analysis
Based on the BERT model, this project enhances the performance of the model on extremely unbalanced data sets through a variety of finetuning methods and a contrastive learning task.
BERT Based Sentiment Analysis