APBench and benchmarking large language model performance in fundamental astrodynamics problems for space engineering

Abstract The problem-solving abilities of Large Language Models (LLMs) have become a major focus of research across various STEM fields, including mathematics and physics. Substantial progress has been made in both measuring and enhancing these abilities. Among the multitude of ways to advance space...

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Bibliographic Details
Main Authors: Di Wu, Raymond Zhang, Enrico M. Zucchelli, Yongchao Chen, Richard Linares
Format: Article
Language:English
Published: Nature Portfolio 2025-03-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-025-91150-5
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