As a primary means of information acquisition, information retrieval (IR) systems, such as
search engines, have integrated themselves into our daily lives. These systems also serve …

Background: Large language models (LLMs) have significant capabilities in clinical
information processing tasks. Commercially available LLMs, however, are not optimized for …

As one of the most advanced techniques in AI, Retrieval-Augmented Generation (RAG)
techniques can offer reliable and up-to-date external knowledge, providing huge …

Abstract Purpose of Review Headache disorders are highly prevalent worldwide. Rapidly
advancing capabilities in artificial intelligence (AI) have expanded headache-related …

Large Language Models (LLMs) have shown impressive capabilities in generating human-
like responses. However, their lack of domain-specific knowledge limits their applicability in …

Retrieval-augmented generation (RAG) for language models significantly improves
language understanding systems. The basic retrieval-then-read pipeline of response …

Introduction Large Language Models (LLMs) play a crucial role in clinical information
processing, showcasing robust generalization across diverse language tasks. However …

Large language models (LLMs), such as GPT series models, have received substantial
attention due to their impressive capabilities for generating and understanding human-level …

This study focused on the development and evaluation of an Adaptive Query
Contextualization Algorithm (AQCA) within the Alpaca Large Language Model (LLM) …

Recent advancements in large language models (LLMs) have achieved promising
performances across various applications. Nonetheless, the ongoing challenge of …