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arXiv:2603.01101v1 Announce Type: new Abstract: Multi-track music generation has garnered significant research interest due to its precise mixing and remixing capabilities. However, existing models often...
arXiv:2603.01103v1 Announce Type: new Abstract: Many creative multimedia systems are built upon visual primitives such as strokes or textures, which are difficult to collect at...
arXiv:2603.01104v1 Announce Type: new Abstract: What if accessing the web did not require a screen, a stable desk, or even free hands? For people navigating...
arXiv:2603.01106v1 Announce Type: new Abstract: Reinforcement learning (RL) with group relative policy optimization (GRPO) has become a widely adopted approach for enhancing the reasoning capabilities...
arXiv:2603.01108v1 Announce Type: new Abstract: Clinically reliable perception of surgical scenes is essential for advancing intelligent, context-aware intraoperative assistance such as instrument handoff guidance, collision...
arXiv:2603.01110v1 Announce Type: new Abstract: Robotic laboratory automation has traditionally relied on carefully engineered motion pipelines and task-specific hardware interfaces, resulting in high design cost...
arXiv:2603.01111v1 Announce Type: new Abstract: Prompt learning is a dominant paradigm for adapting pre-trained Vision-Language Models (VLMs) to downstream tasks. However, existing methods often rely...
arXiv:2603.01113v1 Announce Type: new Abstract: Interactive task planning with large language models (LLMs) enables robots to generate high-level action plans from natural language instructions. However,...
arXiv:2603.01115v1 Announce Type: new Abstract: Foundation vision models are increasingly adopted in medical image analysis. Due to domain shift, these pretrained models misalign with medical...
arXiv:2603.01116v1 Announce Type: new Abstract: Reliable post-disaster building damage assessment (BDA) from satellite imagery is hindered by severe class imbalance, background clutter, and domain shift...
arXiv:2603.01117v1 Announce Type: new Abstract: How nations shape the scientific frontier matters for technological competition, but standard metrics, including publication counts, citations, and disruption indices,...
arXiv:2603.01121v1 Announce Type: new Abstract: While deep learning-based weather forecasting paradigms have made significant strides, addressing extreme weather diagnostics remains a formidable challenge. This gap...
arXiv:2603.01122v1 Announce Type: new Abstract: As robots increasingly integrate into everyday environments, ensuring their safe navigation around humans becomes imperative. Efficient and safe motion planning...
arXiv:2603.01124v1 Announce Type: new Abstract: Medical Vision-Language Models have shown promising potential in clinical decision support, yet they remain prone to factual hallucinations due to...
arXiv:2603.01125v1 Announce Type: new Abstract: While visual reasoning for simple analogies has received significant attention, compositional visual relations (CVR) remain relatively unexplored due to their...
arXiv:2603.01126v1 Announce Type: new Abstract: Executing reliable Humanoid-Object Interaction (HOI) tasks for humanoid robots is hindered by the lack of generalized control interfaces and robust...
arXiv:2603.01128v1 Announce Type: new Abstract: Quadruped robots are becoming increasingly essential for various applications, including industrial inspection and catastrophe search and rescue. These scenarios require...
arXiv:2603.01131v1 Announce Type: new Abstract: Large language models (LLMs) have shown promise in healthcare applications, however, their use in clinical practice is still limited by...
arXiv:2603.01134v1 Announce Type: new Abstract: Vehicle-to-Everything (V2X) communications enable the exchange of information among vehicles to improve road safety and traffic efficiency. As V2X deployments...
arXiv:2603.01135v1 Announce Type: new Abstract: Large Language Models have achieved remarkable success in language understanding and reasoning, and their multimodal extensions enable comprehension of images,...
arXiv:2603.01137v1 Announce Type: new Abstract: District Heating Systems are essential infrastructure for delivering heat to consumers across a geographic region sustainably, yet efficient management relies...
arXiv:2603.01140v1 Announce Type: new Abstract: Conventional image denoising models often inadvertently learn spurious correlations between environmental factors and noise patterns. Moreover, due to high-frequency ambiguity,...
arXiv:2603.01142v1 Announce Type: new Abstract: Creating interactive digital environments for gaming, robotics, and simulation relies on articulated 3D objects whose functionality emerges from their part...
arXiv:2603.01143v1 Announce Type: new Abstract: The application of large vision-language models to computational pathology holds great promise for diagnostic assistants but faces a critical computational...