3 citations · 6 across the 5 of their papers we have counts for
5 papers
MultiMind at SemEval-2025 Task 7: Crosslingual Fact-Checked Claim Retrieval via Multi-Source Alignment
Mohammad Mahdi Abootorabi, Alireza Ghahramani Kure, Mohammadali Mohammadkhani +2
This paper presents our system for SemEval-2025 Task 7: Multilingual and Crosslingual Fact-Checked Claim Retrieval. In an era where misinformation spreads rapidly, effective fact-c…
Semantic-based Unsupervised Framing Analysis (SUFA): A Novel Approach for Computational Framing Analysis
Mohammad Ali, Naeemul Hassan
This research presents a novel approach to computational framing analysis, called Semantic Relations-based Unsupervised Framing Analysis (SUFA). SUFA leverages semantic relations a…
Graph Neural Networks Need Cluster-Normalize-Activate Modules
Arseny Skryagin, Felix Divo, Mohammad Amin Ali +2
Graph Neural Networks (GNNs) are non-Euclidean deep learning models for graph-structured data. Despite their successful and diverse applications, oversmoothing prohibits deep archi…
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
Md Main Uddin Rony, Md Mahfuzul Haque, Mohammad Ali +2
In the digital age, the prevalence of misleading news headlines poses a significant challenge to information integrity, necessitating robust detection mechanisms. This study explor…
To be or not to be? A spatial predictive crime model for Rochester
Ankani Chattoraj, Rupam Acharyya, Sabyasachi Shivkumar +2
This project uses a spatial model (Geographically Weighted Regression) to relate various physical and social features to crime rates. Besides making interesting predictions from ba…