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Exploring Robustness of Prefix Tuning in Noisy Data: A Case Study in Financial Sentiment Analysis
The invention of transformer-based models such as BERT, GPT, and RoBERTa has enabled researchers and financial companies to finetune these powerful models and use them in different downstream tasks to achieve state-of-the-art performance.
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