Large, pre-trained language models (PLMs) such as BERT and GPT have drastically
changed the Natural Language Processing (NLP) field. For numerous NLP tasks …

In recent years, the exponential growth of digital documents has been met by rapid progress
in text classification techniques. Newly proposed machine learning algorithms leverage the …

OpenAI has released the Chat Generative Pre-trained Transformer (ChatGPT) and
revolutionized the approach in artificial intelligence to human-model interaction. The first …

There is an increasing interest in developing artificial intelligence (AI) systems to process
and interpret electronic health records (EHRs). Natural language processing (NLP) powered …

Large language models have recently been shown to attain reasonable zero-shot
generalization on a diverse set of tasks (Brown et al., 2020). It has been hypothesized that …

Large Transformer models have been central to recent advances in natural language
processing. The training and inference costs of these models, however, have grown rapidly …

Large-scale pre-trained language models have contributed significantly to natural language
processing by demonstrating remarkable abilities as few-shot learners. However, their …

Supervised machine learning is an increasingly popular tool for analyzing large political text
corpora. The main disadvantage of supervised machine learning is the need for thousands …

Large language models (LLMs) have achieved significant progress from pre-training on and
memorizing a wide range of textual data, however, this process might suffer from privacy …

Humans can learn a new language task efficiently with only few examples, by leveraging
their knowledge obtained when learning prior tasks. In this paper, we explore whether and …