activity
20242026
collaborators

11 papers

econ.EM2026

Analyzing the Impact of Release Season and Production Budget on Movie Revenue and Profitability

Mohammad Jalili Torkamani, Pedro Gomes, Amirmohammad Sadeghnejad +1

The film industry is characterized by significant financial uncertainty, where large production investments do not always guarantee commercial success. This study analyzes the rela…

cs.CL2026

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…

cs.SD2025

Adaptive Edge-Cloud Inference for Speech-to-Action Systems Using ASR and Large Language Models

Mohammad Jalili Torkamani, Israt Zarin

Voice-based interaction has emerged as a natural and intuitive modality for controlling IoT devices. However, speech-driven edge devices face a fundamental trade-off between cloud-…

cs.CR2025

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…

cs.CL2025

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…

cs.CL2025

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…