UniCode proposes a novel approach within multimodal large language models (MLLMs) that learns a unified codebook to efficiently tokenize visual, text, and potentially other types of signals.
UniCode proposes a unified codebook for multimodal large language models to enhance visual and text tokenization efficiency.