ChatGPT has drawn considerable attention from both the general public and domain experts
with its remarkable text generation capabilities. This has subsequently led to the emergence …

As large language models continue to develop in the field of AI, text generation systems are
susceptible to a worrisome phenomenon known as hallucination. In this study, we …

Despite the advancements of open-source large language models (LLMs), eg, LLaMA, they
remain significantly limited in tool-use capabilities, ie, using external tools (APIs) to fulfill …

Integrating large language models (LLMs) with various tools has led to increased attention
in the field. Existing approaches either involve fine-tuning the LLM, which is both …

Abstract Large Language Models (LLMs) have demonstrated impressive performance in
various NLP tasks, but they still suffer from challenges such as hallucination and weak …

This survey addresses the crucial issue of factuality in Large Language Models (LLMs). As
LLMs find applications across diverse domains, the reliability and accuracy of their outputs …

Large language models (LLMs) are not amenable to frequent re-training, due to high
training costs arising from their massive scale. However, updates are necessary to endow …

Large Language Models (LLMs), despite their remarkable progress across various general
domains, encounter significant barriers in medicine and healthcare. This field faces unique …

Large language models or ChatGPT have recently gained extensive media coverage. At the
same time, the use of ChatGPT has increased deistically. Biomedical researchers …

Importance The study highlights the potential of large language models, specifically GPT-3.5
and GPT-4, in processing complex clinical data and extracting meaningful information with …