Breaking Down Complex Problems With SQuARE Method
SQuARE method improves large language models' reasoning abilities by breaking complex problems into sequential questions for step-by-step solutions, achieving state-of-the-art performance on multiple benchmarks.
This is a Plain English Papers summary of a research paper called AI Model Breaks Down Complex Problems Into Simple Steps for Better Reasoning. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Introduces SQuARE, a method to improve large language models' reasoning abilities Breaks complex problems into sequential questions for step-by-step solutions Achieves state-of-the-art performance on multiple reasoning benchmarks Demonstrates improved reasoning transparency and accuracy Works with various LLM architectures without requiring mod...