For Prompts 01-05 using image uploads with LMMs, 3.5 Sonnet was clearly the best performing LMM over ScholarGPT and ChatGPT 4o, see Figure . This was apparent in the model's ability to achieve a 9.8 average final score processing 5 images simultaneously. In specific, 3.5 Sonnet always provided the correct generation context, identified the correct image based on the prompt, and had high levels of generation accuracy that the other two LMMs were not able to achieve. Both ScholarGPT and ChatGPT 4o had an average final score of 8.4. The condition that the two models were challenged by the most at only 40 percent of the time was the ability to create high levels of generation accuracy consistently (Condition 4), followed by the ability to provide the correct image source for the prompt only 60 percent of the time (Condition 2). The final scores for ScholarGPT and ChatGPT 4o had a standard deviation of 1.07.