SAILabSiena Artificial Intelligence Lab

Harnessing LLMs for Educational Content-Driven Italian Crossword Generation

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Published in the Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), Pisa, Italy, CEUR Workshop Proceedings.

The paper builds a tool that generates Italian crossword puzzles from educational text using GPT-4o, Mistral-7B-Instruct-v0.3 and Llama3-8B-Instruct, supported by Italian-Clue-Instruct, a dataset of over 30,000 entries. It covers four clue styles: unconstrained clues, definite determiner phrases, copular sentences and bare noun phrases.

Authors: Kamyar Zeinalipour, Achille Fusco, Asya Zanollo, Marco Maggini, Marco Gori.

Read the paper | Code | Models and data

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