6 papers
Iterative In-Context Learning to Enhance LLMs Abstract Reasoning: The Case-Study of Algebraic Tasks
Stefano Fioravanti, Matteo Zavatteri, Roberto Confalonieri +4
LLMs face significant challenges in systematic generalization, particularly when dealing with reasoning tasks requiring compositional rules and handling out-of-distribution example…
Challenging the Abilities of Large Language Models in Italian: a Community Initiative
Malvina Nissim, Danilo Croce, Viviana Patti +78
The rapid progress of Large Language Models (LLMs) has transformed natural language processing and broadened its impact across research and society. Yet, systematic evaluation of t…
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-…