Recently, there has been a notable surge in the significance of large language models
(LLMs) that engage in conversational-style interactions, such as ChatGPT and Claude, as …

Label noise causes deep neural networks to gradually memorize incorrect labels, leading to
a decline in generalization. In this paper, based on three observations from learning …

Supervised fine-tuning (SFT) plays a crucial role in adapting large language models (LLMs)
to specific domains or tasks. However, as demonstrated by empirical experiments, the …

Extremely weakly-supervised text classification aims to classify texts without any labeled
data, but only relying on class names as supervision. Existing works include prompt-based …

Introduction Obstructive Sleep Apnea-Hypopnea Syndrome (OSAHS) is a common sleep-
related breathing disorder that significantly impacts the daily lives of patients. Currently, the …

Traditional graph neural networks (GNNs) have proven effective on homogeneous graph
data. However, due to the increased complexity and diversity in the structure and node …