Data annotation generally refers to the labeling or generating of raw data with relevant
information, which could be used for improving the efficacy of machine learning models. The …

The rapid advancement of Large Language Models (LLMs) has significantly influenced
various domains, leveraging their exceptional few-shot and zero-shot learning capabilities …

Facial expression recognition (FER) is a critical task in multimedia with significant
implications across various domains. However, analyzing the causes of facial expressions is …

Facial expression recognition (FER) is an important research topic in emotional artificial
intelligence. In recent decades, researchers have made remarkable progress. However …

In this paper, we introduce Dynamic Layer Operations (DLO), a novel approach for vertically
scaling transformer-based Large Language Models (LLMs) by dynamically expanding …

Human fact-checkers have specialized domain knowledge that allows them to formulate
precise questions to verify information accuracy. However, this expert-driven approach is …

The rapid evolution of Multimodal Large Language Models (MLLMs) has brought substantial
advancements in artificial intelligence, significantly enhancing the capability to understand …

Facial Action Units (AUs) are of great significance in the realm of affective computing. In this
paper, we propose AU-LLaVA, the first unified AU recognition framework based on the …

Visual data such as images and videos are the most prominent media to record, transmit,
and exchange information in this era. Though we have witnessed waves of success in visual …