A Turkish Educational Crossword Puzzle Generator
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Abstract (arXiv)
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 introduced two specially created datasets: one with over 180,000 unique answer-clue pairs for generating relevant clues from the given answer, and another with over 35,000 samples containing text, answer, category, and clue data, aimed at producing clues for specific texts and keywords within certain categories. Beyond entertainment, this generator emerges as an interactive educational tool that enhances memory, vocabulary, and problem-solving skills. It's a notable step in AI-enhanced education, merging game-like engagement with learning for Turkish and setting new standards for interactive, intelligent learning tools in Turkish.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 6 of its 19 references that are in the map. First posted on arXiv 11 May 2024.
Builds on
6 of 19 references.
References · 6
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2023Llama 2: Open Foundation and Fine-Tuned Chat Modelscited by 13,028
- 2022Self-Instruct: Aligning Language Models with Self-Generated Instructionscited by 2,724
- 2023Italian Crossword Generator: Enhancing Education through Interactive Word Puzzlescited by 6
- 2023ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applicationscited by 5
- 2024Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzlescited by 5
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Citing papers per year: 2024: 2; 2025: 2.
4 papers.
- 2024Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebusescited by 2
- 2024Harnessing LLMs for Educational Content-Driven Italian Crossword Generationcited by 1
- 2025From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswordscited by 1
- 2025left|,circlearrowright,boxedBUS,right|: A Large and Diverse Multimodal Benchmark for evaluating the ability of Vision-Language Models to understand Rebus Puzzlescited by 1
- 2025left|,circlearrowright,boxedBUS,right|: A Large and Diverse Multimodal Benchmark for evaluating the ability of Vision-Language Models to understand Rebus Puzzles3 Nov 2025
- 2025From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords19 Jan 2025
- 2024Harnessing LLMs for Educational Content-Driven Italian Crossword Generation25 Nov 2024
- 2024Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses1 Aug 2024