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 …

With the burgeoning development in the realm of large language models (LLMs), the
demand for efficient incremental training tailored to specific industries and domains …

Multimodal medical question answering (MMQA) is a vital area bridging healthcare and
Artificial Intelligence (AI). This survey methodically examines the MMQA research published …

Community Question Answering (CQA) becomes increasingly prevalent in recent years.
However, there are a large number of answers, which is difficult for users to select the …

Online disease diagnosis, gathering the patients' symptoms and making diagnoses through
online dialogue, grows rapidly worldwide. Manual-based approach, eg, Haodaifu, employs …

Language models'(LMs) proficiency in handling deterministic symbolic reasoning and rule-
based tasks remains limited due to their dependency implicit learning on textual data. To …

Community Question Answering (CQA) has become increasingly prevalent in recent years.
However, the large volume of answers poses a challenge for users in identifying the most …

This research focuses on the development of a medical chatbot capable of providing
accurately sourced answers to obstetric questions posed by medical professionals in …

Medical Named Entity Recognition (NER) plays a crucial role in enhancing the efficiency of
clinical work. Currently, Chinese Named Entity Recognition methods based on deep …