6 papers
Boosting Accuracy and Interpretability in Multilingual Hate Speech Detection Through Layer Freezing and Explainable AI
Meysam Shirdel Bilehsavar, Negin Mahmoudi, Mohammad Jalili Torkamani +1
Sentiment analysis focuses on identifying the emotional polarity expressed in textual data, typically categorized as positive, negative, or neutral. Hate speech detection, on the o…
Secure and Scalable Blockchain Voting: A Comparative Framework and the Role of Large Language Models
Kiana Kiashemshaki, Elvis Nnaemeka Chukwuani, Mohammad Jalili Torkamani +1
Blockchain technology offers a promising foundation for modernizing E-Voting systems by enhancing transparency, decentralization, and security. Yet, real-world adoption remains lim…
Secure coding for web applications: Frameworks, challenges, and the role of LLMs
Kiana Kiashemshaki, Mohammad Jalili Torkamani, Negin Mahmoudi
Secure coding is a critical yet often overlooked practice in software development. Despite extensive awareness efforts, real-world adoption remains inconsistent due to organization…
Ensembling Multilingual Transformers for Robust Sentiment Analysis of Tweets
Meysam Shirdel Bilehsavar, Negin Mahmoudi, Mohammad Jalili Torkamani +1
Sentiment analysis is a very important natural language processing activity in which one identifies the polarity of a text, whether it conveys positive, negative, or neutral sentim…
Simulating a Bias Mitigation Scenario in Large Language Models
Kiana Kiashemshaki, Mohammad Jalili Torkamani, Negin Mahmoudi +1
Large Language Models (LLMs) have fundamentally transformed the field of natural language processing; however, their vulnerability to biases presents a notable obstacle that threat…
LLM-Driven Adaptive 6G-Ready Wireless Body Area Networks: Survey and Framework
Mohammad Jalili Torkamani, Negin Mahmoudi, Kiana Kiashemshaki
Wireless Body Area Networks (WBANs) enable continuous monitoring of physiological signals for applications ranging from chronic disease management to emergency response. Recent adv…