86 citations · 142 across the 18 of their papers we have counts for
21 papers
Teaching Vision-Language Models to Decline: Support Completion Against Mirage
Alfaj Uddin Ahmed, Md. Shaown Miah, Md Arid Hasan +2
Vision-language models answer questions about images they were never shown, a failure called mirage. Such an answer can be correct without being justified by the evidence, and the…
ImageEval 2026: Culturally Grounded Arabic Multimodal Evaluation
Samir Abdaljalil, Hunzalah Hassan Bhatti, Ahlam Bashiti +11
We present an overview of the ImageEval 2026 shared task on culturally grounded Arabic multimodal evaluation. It includes two tasks: (i) AynVQA, covering spoken visual question ans…
LLM-Based Multi-Task Bangla Hate Speech Detection: Type, Severity, and Target
Md Arid Hasan, Firoj Alam, Md Fahad Hossain +2
Online social media platforms are central to everyday communication and information seeking. While these platforms serve positive purposes, they also provide fertile ground for the…
OASIS: A Multilingual and Multimodal Dataset for Culturally Grounded Spoken Visual QA
Firoj Alam, Ali Ezzat Shahroor, Md. Arid Hasan +8
Large-scale multimodal models achieve strong results on tasks like Visual Question Answering (VQA), but they are often limited when queries require cultural and visual information,…
CultranAI at PalmX 2025: Data Augmentation for Cultural Knowledge Representation
Hunzalah Hassan Bhatti, Youssef Ahmed, Md Arid Hasan +1
In this paper, we report our participation to the PalmX cultural evaluation shared task. Our system, CultranAI, focused on data augmentation and LoRA fine-tuning of large language…
SpokenNativQA: Multilingual Everyday Spoken Queries for LLMs
Firoj Alam, Md Arid Hasan, Shammur Absar Chowdhury
Large Language Models (LLMs) have demonstrated remarkable performance across various disciplines and tasks. However, benchmarking their capabilities with multilingual spoken querie…
NativQA Framework: Enabling LLMs and VLMs with Native, Local, and Everyday Knowledge
Firoj Alam, Md Arid Hasan, Sahinur Rahman Laskar +3
The rapid progress of large language models (LLMs) raises concerns about cultural bias, fairness, and performance in diverse languages and underrepresented regions. Addressing thes…
MemeIntel: Explainable Detection of Propagandistic and Hateful Memes
Mohamed Bayan Kmainasi, Abul Hasnat, Md Arid Hasan +2
The proliferation of multimodal content on social media presents significant challenges in understanding and moderating complex, context-dependent issues such as misinformation, ha…
PropXplain: Can LLMs Enable Explainable Propaganda Detection?
Maram Hasanain, Md Arid Hasan, Mohamed Bayan Kmainasi +4
There has been significant research on propagandistic content detection across different modalities and languages. However, most studies have primarily focused on detection, with l…
AraDiCE: Benchmarks for Dialectal and Cultural Capabilities in LLMs
Basel Mousi, Nadir Durrani, Fatema Ahmad +6
Arabic, with its rich diversity of dialects, remains significantly underrepresented in Large Language Models, particularly in dialectal variations. We address this gap by introduci…
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…
NativQA: Multilingual Culturally-Aligned Natural Query for LLMs
Md. Arid Hasan, Maram Hasanain, Fatema Ahmad +6
Natural Question Answering (QA) datasets play a crucial role in evaluating the capabilities of large language models (LLMs), ensuring their effectiveness in real-world applications…
ArMeme: Propagandistic Content in Arabic Memes
Firoj Alam, Abul Hasnat, Fatema Ahmed +2
With the rise of digital communication, memes have become a significant medium for cultural and political expression that is often used to mislead audiences. Identification of such…
Ensemble Language Models for Multilingual Sentiment Analysis
Md Arid Hasan
The rapid advancement of social media enables us to analyze user opinions. In recent times, sentiment analysis has shown a prominent research gap in understanding human sentiment b…
BLP-2023 Task 2: Sentiment Analysis
Md. Arid Hasan, Firoj Alam, Anika Anjum +2
We present an overview of the BLP Sentiment Shared Task, organized as part of the inaugural BLP 2023 workshop, co-located with EMNLP 2023. The task is defined as the detection of s…
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis
Md. Arid Hasan, Shudipta Das, Afiyat Anjum +4
The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare.…
Z-Index at CheckThat! Lab 2022: Check-Worthiness Identification on Tweet Text
Prerona Tarannum, Firoj Alam, Md. Arid Hasan +1
The wide use of social media and digital technologies facilitates sharing various news and information about events and activities. Despite sharing positive information misleading…
Simulating Using Deep Learning The World Trade Forecasting of Export-Import Exchange Rate Convergence Factor During COVID-19
Effat Ara Easmin Lucky, Md. Mahadi Hasan Sany, Mumenunnesa Keya +4
By trade we usually mean the exchange of goods between states and countries. International trade acts as a barometer of the economic prosperity index and every country is overly de…
MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification
Firoj Alam, Tanvirul Alam, Md. Arid Hasan +3
Recent research in disaster informatics demonstrates a practical and important use case of artificial intelligence to save human lives and suffering during natural disasters based…
A Review of Bangla Natural Language Processing Tasks and the Utility of Transformer Models
Firoj Alam, Arid Hasan, Tanvirul Alam +4
Bangla -- ranked as the 6th most widely spoken language across the world (https://www.ethnologue.com/guides/ethnologue200), with 230 million native speakers -- is still considered…
Sentiment Classification in Bangla Textual Content: A Comparative Study
Md. Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury +1
Sentiment analysis has been widely used to understand our views on social and political agendas or user experiences over a product. It is one of the cores and well-researched areas…