<hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#0e101a)">As outlined in Section 1, recent advances in LLMs have led to the development of MLLMs, which combine the reasoning of LLMs with visual processing (Li et al., 2023; Yin et al., 2023). Notable MLLMs with image-to-text capabilities such as GPT-4o / GPT-4o mini (</hi>OpenAI, 2024 <hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#0e101a)">), LLaVA (</hi>Liu <hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#0e101a)">et al., 2023), Llama 3 (</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#222222)">Dubey et al., 2024</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#0e101a)">), Pixtral (</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#222222)">Agrawal et al., 2024</hi> <hi xmlns="http://www.tei-c.org/ns/1.0" rend="color(#0e101a)">) and others have demonstrated significant progress in image understanding through various architectural innovations and training strategies (Yin, et al., 2023).</hi>