10 citations · 14 across the 12 of their papers we have counts for
6 papers · 1 filter
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-…
Design Proteins Using Large Language Models: Enhancements and Comparative Analyses
Kamyar Zeinalipour, Neda Jamshidi, Monica Bianchini +2
Pre-trained LLMs have demonstrated substantial capabilities across a range of conventional natural language processing (NLP) tasks, such as summarization and entity recognition. In…
Automating Turkish Educational Quiz Generation Using Large Language Models
Kamyar Zeinalipour, Yusuf Gökberk Keptiğ, Marco Maggini +1
Crafting quizzes from educational content is a pivotal activity that benefits both teachers and students by reinforcing learning and evaluating understanding. In this study, we int…
A Turkish Educational Crossword Puzzle Generator
Kamyar Zeinalipour, Yusuf Gökberk Keptiğ, Marco Maggini +2
This paper introduces the first Turkish crossword puzzle generator designed to leverage the capabilities of large language models (LLMs) for educational purposes. In this work, we…
Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali +3
Crossword puzzles are popular linguistic games often used as tools to engage students in learning. Educational crosswords are characterized by less cryptic and more factual clues t…
ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications
Kamyar Zeinalipour, Mohamed Zaky Saad, Marco Maggini +1
This paper presents the first Arabic crossword puzzle generator driven by advanced AI technology. Leveraging cutting-edge large language models including GPT4, GPT3-Davinci, GPT3-C…