Real-Time Driver Safety Scoring Through Inverse Crash Probability Modeling
arXiv:2603.14841v2 Announce Type: replace-cross Abstract: Road crashes remain a leading cause of preventable fatalities. Existing prediction models predominantly produce binary…
ZeroFlood: Flood Hazard Mapping from Single-Modality SAR Using Geo-Foundation Models
arXiv:2510.23364v2 Announce Type: replace-cross Abstract: Flood hazard mapping is essential for disaster prevention but remains challenging in data-scarce regions, where…
Agenda-based Narrative Extraction: Steering Pathfinding Algorithms with Large Language Models
arXiv:2603.29661v1 Announce Type: cross Abstract: Existing narrative extraction methods face a trade-off between coherence, interactivity, and multi-storyline support. Narrative Maps…
Concept frustration: Aligning human concepts and machine representations
arXiv:2603.29654v1 Announce Type: cross Abstract: Aligning human-interpretable concepts with the internal representations learned by modern machine learning systems remains a…
6GAgentGym: Tool Use, Data Synthesis, and Agentic Learning for Network Management
arXiv:2603.29656v1 Announce Type: cross Abstract: Autonomous 6G network management requires agents that can execute tools, observe the resulting state changes,…
Detection of Adversarial Attacks in Robotic Perception
arXiv:2603.28594v2 Announce Type: replace-cross Abstract: Deep Neural Networks (DNNs) achieve strong performance in semantic segmentation for robotic perception but remain…
Pseudo Label NCF for Sparse OHC Recommendation: Dual Representation Learning and the Separability Accuracy Trade off
arXiv:2603.24750v2 Announce Type: replace-cross Abstract: Online Health Communities connect patients for peer support, but users face a discovery challenge when…
Time is Not Compute: Scaling Laws for Wall-Clock Constrained Training on Consumer GPUs
arXiv:2603.28823v1 Announce Type: cross Abstract: Scaling laws relate model quality to compute budget (FLOPs), but practitioners face wall-clock time constraints,…
Predicting new research directions in materials science using large language models and concept graphs
Nature Machine Intelligence, Published online: 01 April 2026; doi:10.1038/s42256-026-01206-y Marwitz et al. demonstrate the use of large language models to…
Two-dimensional geometric template diffusion for boosting single-sequence protein structure prediction
Nature Machine Intelligence, Published online: 01 April 2026; doi:10.1038/s42256-026-01210-2 Wang et al. introduce TDFold, which reformulates 3D protein structure prediction…