# A Turkish Educational Crossword Puzzle Generator

arXiv: https://arxiv.org/abs/2405.07035 · HTML: https://mlsanity.com/paper/2405.07035/

## 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 (most cited first, 6 of 6)

- [Language Models are Few-Shot Learners](https://mlsanity.com/paper/2005.14165/) (2020)
- [Llama 2: Open Foundation and Fine-Tuned Chat Models](https://mlsanity.com/paper/2307.09288/) (2023)
- [Self-Instruct: Aligning Language Models with Self-Generated Instructions](https://mlsanity.com/paper/2212.10560/) (2022)
- [Italian Crossword Generator: Enhancing Education through Interactive Word Puzzles](https://mlsanity.com/paper/2311.15723/) (2023)
- [ArabIcros: AI-Powered Arabic Crossword Puzzle Generation for Educational Applications](https://mlsanity.com/paper/2312.01339/) (2023)
- [Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles](https://mlsanity.com/paper/2404.06186/) (2024)

## Built on by (most cited first, 4 of 4)

- [Non Verbis, Sed Rebus: Large Language Models are Weak Solvers of Italian Rebuses](https://mlsanity.com/paper/2408.00584/) (2024)
- [Harnessing LLMs for Educational Content-Driven Italian Crossword Generation](https://mlsanity.com/paper/2411.16936/) (2024)
- [From Arabic Text to Puzzles: LLM-Driven Development of Arabic Educational Crosswords](https://mlsanity.com/paper/2501.11035/) (2025)
- [left|,circlearrowright,boxedBUS,right|: A Large and Diverse Multimodal Benchmark for evaluating the ability of Vision-Language Models to understand Rebus Puzzles](https://mlsanity.com/paper/2511.01340/) (2025)

## 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.