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The race to prevent the worst wildfires has been an increasingly high-tech one. Companies are proposing AI fire detection systems...
arXiv:2506.03922v3 Announce Type: replace Abstract: Multimodal Large Language Models (MLLMs) have demonstrated significant potential to advance a broad range of...
arXiv:2603.02830v1 Announce Type: new Abstract: Predicting future student responses to questions is particularly valuable for educational learning platforms where it...
arXiv:2603.03198v1 Announce Type: cross Abstract: Universal embodied intelligence demands robust generalization across heterogeneous embodiments, such as autonomous driving, robotics, and...
arXiv:2508.09096v2 Announce Type: replace Abstract: In the era of graph-based retrieval-augmented generation (RAG), link prediction is a significant preprocessing step...

Current end-to-end robotic policies, specifically Vision-Language-Action (VLA) models, typically operate on a single observation or a very short history. This...
arXiv:2603.02081v1 Announce Type: cross Abstract: Traditional query processing relies on engines that are carefully optimized and engineered by many experts....










