The ninth edition of this workshop will emphasize the use of multimodal LLMs for hand-related tasks. Multimodal LLMs have revolutionized the perceptions of AI, and demonstrated groundbreaking contributions to multimodal understanding, zero-shot learning, and transfer learning. Those models can process and integrate information from different types of hand data (or modalities), allowing the model to better understand complex hand-object/-hand interaction situations by capturing richer, more diverse representations.