Software Engineers Leverage LLMs For Math Discovery
LLMs unlock mathematical discovery with In-Context Symbolic Regression (ICSR), outperforming traditional methods by providing context & guidelines to generate symbolic equations that fit data.
This is a Plain English Papers summary of a research paper called "LLMs Unlock Mathematical Discovery: New Method Outperforms Traditional Symbolic Regression". If you like these kinds of analysis, you should subscribe to the AImodels.fyi newsletter or follow me on Twitter. Overview This paper presents a novel method called "In-Context Symbolic Regression" (ICSR) that leverages large language models (LLMs) to discover mathematical functions from data. ICSR allows LLMs to generate symbolic regression equations by providing them with relevant context, such as the input-output data and o...