Evaluating Image Captioning Without LLMs in Flexible Settings

This research explores a novel approach to image captioning, focusing on evaluation methods that don't rely on Large Language Models (LLMs). This is a valuable contribution, potentially reducing computational costs and improving interpretability of image captioning systems.

• •Focuses on LLM-free evaluation of image captioning.
• •Addresses the need for flexible evaluation settings.
• •Potentially reduces reliance on computationally expensive LLMs.