Hateful meme detection is a challenging multimodal task that requires
co...
Recent developments in natural language processing have demonstrated the...
Total Defence is a defence policy combining and extending the concept of...
Recent research has focused on using large language models (LLMs) to gen...
Recent studies have proposed models that yielded promising performance f...
Adapting a large language model for multiple-attribute text style transf...
While individual-level AI-assisted analysis has been fairly examined in ...
Hateful meme classification is a challenging multimodal task that requir...
Hateful meme detection is a new multimodal task that has gained signific...
TikTok is a popular new social media, where users express themselves thr...
Language models such as GPT-2 have performed well on constructing
syntac...
The analytical description of charts is an exciting and important resear...
Existing text style transfer (TST) methods rely on style classifiers to
...
Hateful and offensive content detection has been extensively explored in...
Automated hate speech detection in social media is a challenging task th...
Online hate speech is an important issue that breaks the cohesiveness of...
The stylistic properties of text have intrigued computational linguistic...
The COVID-19 pandemic has developed to be more than a bio-crisis as glob...
Online abusive behavior is an important issue that breaks the cohesivene...
Social collaborative platforms such as GitHub and Stack Overflow have be...
In this paper, we proposed a novel framework which uses user interests
i...
Finding influential users in online social networks is an important prob...