Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Hossain, Eftekhar"'
The rapid development of Large Vision-Language Models (LVLMs) often comes with widespread hallucination issues, making cost-effective and comprehensive assessments increasingly vital. Current approaches mainly rely on costly annotations and are not c
Externí odkaz:
http://arxiv.org/abs/2409.13612
Internet memes have become a powerful means for individuals to express emotions, thoughts, and perspectives on social media. While often considered as a source of humor and entertainment, memes can also disseminate hateful content targeting individua
Externí odkaz:
http://arxiv.org/abs/2403.10829
Multimodal hateful content detection is a challenging task that requires complex reasoning across visual and textual modalities. Therefore, creating a meaningful multimodal representation that effectively captures the interplay between visual and tex
Externí odkaz:
http://arxiv.org/abs/2402.09738
Publikováno v:
In Heliyon 15 September 2024 10(17)
In recent years, several systems have been developed to regulate the spread of negativity and eliminate aggressive, offensive or abusive contents from the online platforms. Nevertheless, a limited number of researches carried out to identify positive
Externí odkaz:
http://arxiv.org/abs/2103.00464
The increasing accessibility of the internet facilitated social media usage and encouraged individuals to express their opinions liberally. Nevertheless, it also creates a place for content polluters to disseminate offensive posts or contents. Most o
Externí odkaz:
http://arxiv.org/abs/2103.00455
In the past few years, the meme has become a new way of communication on the Internet. As memes are the images with embedded text, it can quickly spread hate, offence and violence. Classifying memes are very challenging because of their multimodal na
Externí odkaz:
http://arxiv.org/abs/2103.00466
This paper illustrates a detail description of the system and its results that developed as a part of the participation at CONSTRAINT shared task in AAAI-2021. The shared task comprises two tasks: a) COVID19 fake news detection in English b) Hostile
Externí odkaz:
http://arxiv.org/abs/2101.03291
This paper illustrates the details description of technical text classification system and its results that developed as a part of participation in the shared task TechDofication 2020. The shared task consists of two sub-tasks: (i) first task identif
Externí odkaz:
http://arxiv.org/abs/2012.11420
The amount of textual data generation has increased enormously due to the effortless access of the Internet and the evolution of various web 2.0 applications. These textual data productions resulted because of the people express their opinion, emotio
Externí odkaz:
http://arxiv.org/abs/2011.09684