Mark Connor

Can LLM’s Pick Up Where GP Left off? Investigating LLM Mathematical Expression Simplification Capabilities

This work investigates the use of Large Language Models as a post-hoc simplification layer for GP-derived mathematical expressions, examining two prompting strategies; Few-Shot Prompting and In-Context Learning across two contemporary LLMs: GPT-5.4-mini and Nemotron-3-Super.