Synthetic Cognitive Walkthrough: Improving LLM Performance through Human-like Evaluation

This research explores a novel method to evaluate Large Language Models (LLMs) by simulating human cognitive processes. The use of a Synthetic Cognitive Walkthrough presents a promising approach to enhance LLM performance and alignment with human understanding.

• •Proposes a new methodology for evaluating LLMs.
• •Aims to align LLM performance with human cognitive processes.
• •Potentially improves the reliability and usability of LLMs.