Large language models (LLMs) are a special class of pretrained language models (PLMs)
obtained by scaling model size, pretraining corpus and computation. LLMs, because of their …

Natural Language Processing (NLP) research is increasingly focusing on the use of Large
Language Models (LLMs), with some of the most popular ones being either fully or partially …

This survey presents an in-depth exploration of knowledge distillation (KD) techniques
within the realm of Large Language Models (LLMs), spotlighting the pivotal role of KD in …

Objectives To enhance the performance of large language models (LLMs) in biomedical
natural language processing (BioNLP) by introducing a domain-specific instruction dataset …

A patient portal allows discharged patients to access their personalized discharge
instructions in electronic health records (EHRs). However, many patients have difficulty …

Recent work has shown the promise of learning with human feedback paradigms to produce
human-determined high-quality text. Existing works use human feedback to train large …

Depression is a widespread mental health disorder affecting millions globally. Clinical
interviews are the gold standard for assessing depression, but they heavily rely on scarce …

The detailed clinical records drafted by doctors after each patient's visit are crucial for
medical practitioners and researchers. Automating the creation of these notes with language …

Introduction Recent developments in the field of large language models have showcased
impressive achievements in their ability to perform natural language processing tasks …

This study examines the effect of prompt engineering on the performance of Large
Language Models (LLMs) in clinical note generation. We introduce an Automatic Prompt …