1 citations · 1 across the 4 of their papers we have counts for
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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…
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…