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By centering smart glasses as wearable-intelligence platforms, this survey provides a unified framework for organizing technologies, applications, and open challenges in this emerging area.
Task-oriented sampling strategies can substantially elevate multimodal protein language model performance, revealing that default protocols are often inadequate.
FashionEcoKG transforms fashion question answering by integrating a comprehensive knowledge graph, leading to a significant boost in retrieval and answer accuracy.
System Intelligence emerges as a game-changer, enabling LLM agents to collaborate effectively across complex tasks by organizing their interactions through dynamic graph structures.
A/B Agent achieves a 4.829% boost in GMV by autonomously evolving recommendation strategies through a novel hierarchical knowledge organization and real-time feedback loop.
DLMRec redefines recommendation generation by leveraging diffusion modeling to capture complex user preferences more effectively than traditional autoregressive approaches.
GPT-4o gets outperformed by 2.19% on a new smart glasses VQA benchmark, thanks to a retrieval-augmented agent that first identifies the object of interest.
