4 papers
From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords
Kamyar Zeinalipour, Mohamed Zaky Saad, Marco Maggini +1
We present an Arabic crossword puzzle generator from a given text that utilizes advanced language models such as GPT-4-Turbo, GPT-3.5-Turbo and Llama3-8B-Instruct, specifically dev…
Application of Machine Learning Models for Carbon Monoxide and Nitrogen Oxides Emission Prediction in Gas Turbines
Kamyar Zeinalipour, Laure Barriere, David Ghelardi +1
This paper addresses the environmental impacts linked to hazardous emissions from gas turbines, with a specific focus on employing various machine learning (ML) models to predict t…
Advancing Student Writing Through Automated Syntax Feedback
Kamyar Zeinalipour, Mehak Mehak, Fatemeh Parsamotamed +2
This study underscores the pivotal role of syntax feedback in augmenting the syntactic proficiency of students. Recognizing the challenges faced by learners in mastering syntactic…
Harnessing LLMs for Educational Content-Driven Italian Crossword Generation
Kamyar Zeinalipour, Achille Fusco, Asya Zanollo +2
In this work, we unveil a novel tool for generating Italian crossword puzzles from text, utilizing advanced language models such as GPT-4o, Mistral-7B-Instruct-v0.3, and Llama3-8b-…