Triple

Target class: embodied AI benchmark
Context triple: [AI2-THOR, instanceOf, embodied AI benchmark]

• A. benchmark in artificial intelligence chosen
  A benchmark in artificial intelligence is a standardized task, dataset, or evaluation protocol used to quantitatively compare and assess the performance of AI models and algorithms.
• B. disembodied intelligence
  A disembodied intelligence is a non-physical, self-aware cognitive entity that exists and operates independently of any biological or material body.
• C. test of machine intelligence
  A test of machine intelligence is a systematic procedure or set of tasks designed to evaluate a machine's ability to exhibit behaviors or problem-solving capabilities that are typically associated with human cognitive processes.
• D. 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.
• E. behavior-based robotics paradigm
  The behavior-based robotics paradigm is an approach to robot control that builds complex, adaptive behavior from the interaction and coordination of many simple, decentralized behavior modules directly coupled to sensors and actuators, rather than relying on centralized symbolic planning.
• F. None of above.