1 citations · 1 across the 15 of their papers we have counts for
15 papers
AHA-Memes: A Fine-Grained Multimodal Benchmark for Understanding Hate in Arabic Memes
Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Abul Hasnat +3
Hateful memes are a growing form of multimodal online harm, where hostile intent is often conveyed through the joint interpretation of images, text, cultural references, and implic…
Early Prediction of Type 2 Diabetes Using Multimodal data and Tabular Transformers
Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah
This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction using a tabular transformer (TabTrans) architecture to analyze longitudinal patient…
MARSAD: A Multi-Functional Tool for Real-Time Social Media Analysis
Md. Rafiul Biswas, Firoj Alam, Wajdi Zaghouani
MARSAD is a multifunctional natural language processing (NLP) platform designed for real-time social media monitoring and analysis, with a particular focus on the Arabic-speaking w…
An Annotated Corpus of Arabic Tweets for Hate Speech Analysis
Wajdi Zaghouani, Md. Rafiul Biswas
Identifying hate speech content in the Arabic language is challenging due to the rich quality of dialectal variations. This study introduces a multilabel hate speech dataset in the…
EmoHopeSpeech: An Annotated Dataset of Emotions and Hope Speech in English and Arabic
Wajdi Zaghouani, Md. Rafiul Biswas
This research introduces a bilingual dataset comprising 23,456 entries for Arabic and 10,036 entries for English, annotated for emotions and hope speech, addressing the scarcity of…
Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs
Firoj Alam, Md. Rafiul Biswas, Uzair Shah +2
In the past decade, social media platforms have been used for information dissemination and consumption. While a major portion of the content is posted to promote citizen journalis…
MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identification
Md Rafiul Biswas, Zubair Shah, Wajdi Zaghouani
This paper focuses on detecting propagandistic spans and persuasion techniques in Arabic text from tweets and news paragraphs. Each entry in the dataset contains a text sample and…
Nullpointer at CheckThat! 2024: Identifying Subjectivity from Multilingual Text Sequence
Md. Rafiul Biswas, Abrar Tasneem Abir, Wajdi Zaghouani
This study addresses a binary classification task to determine whether a text sequence, either a sentence or paragraph, is subjective or objective. The task spans five languages: A…
ArAIEval Shared Task: Propagandistic Techniques Detection in Unimodal and Multimodal Arabic Content
Maram Hasanain, Md. Arid Hasan, Fatema Ahmed +4
We present an overview of the second edition of the ArAIEval shared task, organized as part of the ArabicNLP 2024 conference co-located with ACL 2024. In this edition, ArAIEval off…
An Early Investigation into the Utility of Multimodal Large Language Models in Medical Imaging
Sulaiman Khan, Md. Rafiul Biswas, Alina Murad +2
Recent developments in multimodal large language models (MLLMs) have spurred significant interest in their potential applications across various medical imaging domains. On the one…
Pushing Boundaries: Exploring Zero Shot Object Classification with Large Multimodal Models
Ashhadul Islam, Md. Rafiul Biswas, Wajdi Zaghouani +2
The synergy of language and vision models has given rise to Large Language and Vision Assistant models (LLVAs), designed to engage users in rich conversational experiences inter…
Potentials of ChatGPT for Annotating Vaccine Related Tweets
Md. Rafiul Biswas, Farida Mohsen, Zubair Shah +1
This study evaluates ChatGPT's performance in annotating vaccine-related Arabic tweets by comparing its annotations with human annotations. A dataset of 2,100 tweets representing v…
Can ChatGPT be Your Personal Medical Assistant?
Md. Rafiul Biswas, Ashhadul Islam, Zubair Shah +2
The advanced large language model (LLM) ChatGPT has shown its potential in different domains and remains unbeaten due to its characteristics compared to other LLMs. This study aims…
Influences of social media usage on public attitudes and behavior towards COVID-19 vaccine in the Arab world
Md. Rafiul Biswas, Hazrat Ali, Raian Ali +1
Background: Vaccination programs are effective only when a significant percentage of people are vaccinated. However, vaccine acceptance varies among communities around the world. S…
Characterising Communities of Twitter Users Who Posted Vaccines Related Tweets by Information Sources
Md. Rafiul Biswas
Objective: We formed community structure based on web page credibility and we measured the types of information for characterizing communities of tweeter users who posted about twe…