MoTE Architecture Uses Task-Specific Experts for Video Understanding

MoTE introduces a Mixture of Task Experts architecture that converts LLM feed-forward networks into task-specific experts while sharing a multimodal backbone. This prevents task entanglement in procedural video-language models by routing each sample to a specific task-level expert.