Triple

Target class: multilingual sequence-to-sequence model
Context triple: [mBART, instanceOf, multilingual sequence-to-sequence model]

• A. multimodal large language model family
  A multimodal large language model family is a group of related neural models that can jointly process and generate multiple data modalities—such as text, images, audio, or video—using shared architectures, training objectives, and parameterizations.
• B. natural language processing model chosen
  A natural language processing model is a computational system designed to understand, interpret, generate, and manipulate human language in a meaningful way.
• C. large-scale model
  A large-scale model is a computational model, often in machine learning or simulation, that operates with vast numbers of parameters or variables to capture complex patterns or behaviors across extensive datasets or systems.
• D. text-to-speech model
  A text-to-speech model is a system that converts written text into natural-sounding spoken audio using linguistic analysis and speech synthesis techniques.
• E. multilingual database
  A multilingual database is a data storage system designed to store, manage, and retrieve information in multiple languages while preserving linguistic accuracy and supporting language-specific querying and processing.
• F. None of above.