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Found 4 papers, 1 papers with code
Show Me How It's Done: The Role of Explanations in Fine-Tuning Language Models
Our research demonstrates the significant benefits of using fine-tuning with explanations to enhance the performance of language models.
Investigating Pre-trained Language Models on Cross-Domain Datasets, a Step Closer to General AI
They all have similar performance and they outperform transformers that are trained from scratch by a large margin.
Opening the Black Box: Analyzing Attention Weights and Hidden States in Pre-trained Language Models for Non-language Tasks
Investigating deep learning language models has always been a significant research area due to the ``black box" nature of most advanced models.
The benefits of synthetic data for action categorization
In this paper, we study the value of using synthetically produced videos as training data for neural networks used for action categorization.
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