Puzzle Solving using Reasoning of Large Language Models: A Survey
Exploring the capabilities of Large Language Models (LLMs) in puzzle solving unveils
critical insights into their potential and challenges in artificial intelligence, marking a
significant step towards understanding their applicability in complex reasoning tasks. This
survey leverages a unique taxonomy--dividing puzzles into rule-based and rule-less
categories--to critically assess LLMs through various methodologies, including prompting
techniques, neuro-symbolic approaches, and fine-tuning. Through a critical review of …
critical insights into their potential and challenges in artificial intelligence, marking a
significant step towards understanding their applicability in complex reasoning tasks. This
survey leverages a unique taxonomy--dividing puzzles into rule-based and rule-less
categories--to critically assess LLMs through various methodologies, including prompting
techniques, neuro-symbolic approaches, and fine-tuning. Through a critical review of …
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