Probing Scientific General Intelligence of LLMs with Scientist-Aligned Workflows

This article, sourced from ArXiv, focuses on evaluating the scientific general intelligence of Large Language Models (LLMs). It likely explores how well LLMs can perform tasks aligned with the workflows of scientists. The research aims to assess the capabilities of LLMs in a scientific context, potentially including tasks like hypothesis generation, experiment design, data analysis, and scientific writing. The use of "scientist-aligned workflows" suggests a focus on practical, real-world applications of LLMs in scientific research.