arXiv:2603.27996v1 Announce Type: new
Abstract: Diffusion models have emerged as a powerful framework for generative tasks in deep learning. They decompose generative modeling into two computational primitives: deterministic neural-network evaluation …
arXiv:2501.08096v4 Announce Type: replace-cross
Abstract: Reinforcement Learning (RL) has shown excellent performance in solving decision-making and control problems of autonomous driving, which is increasingly applied in diverse driving scenarios. Ho…
arXiv:2603.26953v1 Announce Type: cross
Abstract: The expansion of exoplanet observations has created a need for flexible, accessible, and user-friendly workflows. Transmission spectroscopy has become a key technique for probing atmospheric compositio…
arXiv:2603.11382v4 Announce Type: replace-cross
Abstract: How can we determine whether an AI system preserves itself as a deeply held objective or merely as an instrumental strategy? Autonomous agents with memory, persistent context, and multi-step pl…
arXiv:2603.27798v1 Announce Type: new
Abstract: Facial Emotion Recognition is a critical research area within Affective Computing due to its wide-ranging applications in Human Computer Interaction, mental health assessment and fatigue monitoring. Curr…
arXiv:2603.25197v2 Announce Type: replace
Abstract: As AI assistants become integrated into safety engineering workflows for Physical AI systems, a critical question emerges: does AI assistance improve safety analysis quality, or introduce systematic …
arXiv:2603.26221v1 Announce Type: cross
Abstract: Open agentic systems combine LLM-based planning with external capabilities, persistent memory, and privileged execution. They are used in coding assistants, browser copilots, and enterprise automation….
arXiv:2510.13227v2 Announce Type: replace-cross
Abstract: Urban mobility systems face persistent challenges of congestion, underutilized vehicles, and rising emissions driven by private point-to-point commuting. Although ride-sharing platforms exist, …
arXiv:2603.25197v1 Announce Type: cross
Abstract: As AI assistants become integrated into safety engineering workflows for Physical AI systems, a critical question emerges: does AI assistance improve safety analysis quality, or introduce systematic bl…
arXiv:2603.23953v2 Announce Type: replace
Abstract: Vision impairment affects millions globally, and early detection is critical to preventing irreversible vision loss. Ophthalmology workflows require clinicians to integrate medical images, structured…