Puzzle Solving using Reasoning of Large Language Models: A Survey

arXiv:2402.11291v1 Announce Type: new
Abstract: 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 relevant datasets and benchmarks, we assess LLMs' …

abstract artificial artificial intelligence arxiv capabilities challenges cs.ai cs.cl insights intelligence language language models large language large language models llms puzzle reasoning survey tasks taxonomy type understanding