With the continuous growth in the number of parameters of transformer-based pretrained
language models (PLMs), particularly the emergence of large language models (LLMs) with …

Emotional intelligence in large language models (LLMs) is of great importance in Natural
Language Processing. However, the previous research mainly focus on basic sentiment …

Humor, deeply rooted in societal meanings and cultural details, poses a unique challenge
for machines. While advances have been made in natural language processing, real-world …

Accurate stock market predictions following earnings reports are crucial for investors.
Traditional methods, particularly classical machine learning models, struggle with these …

Prompt engineering, as an efficient and effective way to leverage Large Language Models
(LLM), has drawn a lot of attention from the research community. The existing research …

In the era of social media video platforms, popular``hot-comments''play a crucial role in
attracting user impressions of short-form videos, making them vital for marketing and …

Emotion cognition in large language models (LLMs) is crucial for enhancing performance
across various applications, such as social media, human-computer interaction, and mental …

The large models, as predicted by scaling raw forecasts, have made groundbreaking
progress in many fields, particularly in natural language generation tasks, where they have …

The multiplayer online battle arena (MOBA) genre has gained significant popularity and
economic success, attracting considerable research interest within the Human-Computer …

In the current landscape of Compositional Zero-Shot Learning (CZSL) methods that
leverage CLIP, the predominant approach is based on prompt learning paradigms. These …