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The LLM-empowered personal health agents with user health (sensor) metrics have offered a promising pathway to allevi...
Looped architectures provide an inductive bias toward learning step-by-step procedures for tasks that require composi...
Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deepe...
With sophisticated cyber-attacks becoming increasingly prevalent, modern networks require intelligent autonomous cybe...
Zero-Shot Object-Goal Navigation (ZS-OGN) requires embodied agents to explore and locate target objects without any p...
Reproducing research results from papers and released code is central to scientific progress. Existing works have int...
Robots deployed in the real world should learn from their experience and improve over time. This requires a mechanism...
Unified Multimodal Modeling aims to integrate visual understanding and generation within a single system. However, ex...
Effective personalized AI-assisted learning demands systems that can not only generate accurate learner-specific educ...
Clinical early warning systems built on electronic health records, in which clinical observations are recorded as irr...
Current world models face a fundamental tension: faithful long-horizon simulation demands deep computation, but deepe...
Interactive world models aim to simulate environment dynamics under real-time user actions. However, their action voc...