Published in the Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy.
The paper proposes a way to build educational crossword clue datasets by pairing Wikipedia content with keywords and having LLMs write clues, producing clue-instruct with 44,075 examples. LLMs instructed on it generated educational clues whose quality was confirmed by human and automatic evaluation.
Authors: Andrea Zugarini, Kamyar Zeinalipour, Surya Sai Kadali, Marco Maggini, Marco Gori, Leonardo Rigutini.