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 …

Within the vast expanse of computerized language processing, a revolutionary entity known
as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to …

The utilization of large language models (LLMs) for Healthcare has generated both
excitement and concern due to their ability to effectively respond to free-text queries with …

Learning on Graphs has attracted immense attention due to its wide real-world applications.
The most popular pipeline for learning on graphs with textual node attributes primarily relies …

Hierarchical text classification aims to categorize each document into a set of classes in a
label taxonomy. Most earlier works focus on fully or semi-supervised methods that require a …

Large language models (LLMs) like ChatGPT have shown promise in generating
educational content, including questions. This study evaluates the effectiveness of LLMs in …

Despite the success of ChatGPT, its performances on most NLP tasks are still well below the
supervised baselines. In this work, we looked into the causes, and discovered that its subpar …

We present Clinical Prediction with Large Language Models (CPLLM), a method that
involves fine-tuning a pre-trained Large Language Model (LLM) for predicting clinical …

As code review is a tedious and costly software quality practice, researchers have proposed
several machine learning-based methods to automate the process. The primary focus has …

As artificial intelligence (AI) continues to rapidly evolve, the realm of Earth and atmospheric
sciences is increasingly adopting data-driven models, powered by progressive …