Our research includes assessing existing multimodal LLMs regarding historical accuracy and prompt-to-image alignment (Xu et al., 2023), manipulating generated images with further prompts, and fine-tuning LLMs to improve historical accuracy. The <hi xmlns="http://www.tei-c.org/ns/1.0" rend="bold">interdisciplinary approach</hi> where computational linguists work with historians is crucial, as Hutson, Huffman, and Ratican (2024) highlighted in their work on resurrecting Mary Sibley (1800-1878) using her diaries.