Semantic Understanding

Semantic understanding in artificial intelligence focuses on enabling machines to comprehend the meaning and context of language and other modalities, going beyond simple keyword matching. Current research heavily utilizes large language models (LLMs) and multimodal LLMs (MLLMs), often incorporating techniques like Mixture of Experts and contrastive learning to improve semantic representation and reasoning capabilities across various tasks, including visual grounding, question answering, and video summarization. This field is crucial for advancing AI's ability to interact meaningfully with humans and data, impacting applications ranging from personalized recommendations to medical diagnosis and complex robotic control.