While using text as the sole unifying medium in Transcrib3D simplifies the integration of different modalities, it may have limitations in capturing certain visual cues or spatial relationships that are better represented through other modalities like images or point clouds. Text-based representations may lack the richness and granularity of visual information, leading to potential ambiguities or inaccuracies in resolving complex 3D referring expressions. To address these limitations, multi-modal approaches can be combined with Transcrib3D to enhance performance. By incorporating visual inputs such as images or point clouds alongside textual descriptions, Transcrib3D can leverage the complementary strengths of different modalities for more robust and accurate 3D reference resolution. For example, integrating visual features extracted from images can provide additional context and visual cues to aid in grounding textual descriptions to objects in the 3D environment. By fusing textual and visual information through multi-modal architectures like vision-language transformers, Transcrib3D can achieve a more comprehensive understanding of the scene and improve the accuracy of 3D reference resolution tasks.