The EU AI Act and the Rights-based Approach to Technological Governance
arXiv:2603.22920v1 Announce Type: cross Abstract: The EU AI Act constitutes an important development in shaping the Union’s digital regulatory architecture.…
BadminSense: Enabling Fine-Grained Badminton Stroke Evaluation on a Single Smartwatch
arXiv:2603.21825v2 Announce Type: replace-cross Abstract: Evaluating badminton performance often requires expert coaching, which is rarely accessible for amateur players. We…
Robust Safety Monitoring of Language Models via Activation Watermarking
arXiv:2603.23171v1 Announce Type: cross Abstract: Large language models (LLMs) can be misused to reveal sensitive information, such as weapon-making instructions…
Can Graph Foundation Models Generalize Over Architecture?
arXiv:2603.22984v1 Announce Type: cross Abstract: Graph foundation models (GFMs) have recently attracted interest due to the promise of graph neural…
VISion On Request: Enhanced VLLM efficiency with sparse, dynamically selected, vision-language interactions
arXiv:2603.23495v1 Announce Type: cross Abstract: Existing approaches for improving the efficiency of Large Vision-Language Models (LVLMs) are largely based on…
Leveraging LLMs and Social Media to Understand User Perception of Smartphone-Based Earthquake Early Warnings
arXiv:2603.23322v1 Announce Type: cross Abstract: Android’s Earthquake Alert (AEA) system provided timely early warnings to millions during the Mw 6.2…
Planning as Goal Recognition: Deriving Heuristics from Intention Models — Extended Version
arXiv:2603.14824v2 Announce Type: replace Abstract: Classical planning aims to find a sequence of actions, a plan, that maps a starting…
Reverse predictivity for bidirectional comparison of neural networks and biological brains
Nature Machine Intelligence, Published online: 25 March 2026; doi:10.1038/s42256-026-01204-0 Muzellec and Kar use reverse predictivity to show that only a…
Machine learning global atomic representations with Euclidean fast attention
Nature Machine Intelligence, Published online: 25 March 2026; doi:10.1038/s42256-026-01195-y Frank et al. introduce Euclidean fast attention, a linear-scaling framework for…
Compensating Visual Insufficiency with Stratified Language Guidance for Long-Tail Class Incremental Learning
arXiv:2603.21708v1 Announce Type: new Abstract: Long-tail class incremental learning (LT CIL) remains highly challenging because the scarcity of samples in…