Vocabulary shapes cross-lingual variation of word-order learnability in language models

How Open Must Language Models be to Enable Reliable Scientific Inference?

arXiv:2603.26539v1 Announce Type: cross Abstract: How does the extent to which a model is open or closed impact the scientific inferences that can be drawn

R-PGA: Robust Physical Adversarial Camouflage Generation via Relightable 3D Gaussian Splatting

arXiv:2603.26067v1 Announce Type: cross Abstract: Physical adversarial camouflage poses a severe security threat to autonomous driving systems by mapping adversarial textures onto 3D objects. Nevertheless,

Reflect to Inform: Boosting Multimodal Reasoning via Information-Gain-Driven Verification

arXiv:2603.26348v1 Announce Type: cross Abstract: Multimodal Large Language Models (MLLMs) achieve strong multimodal reasoning performance, yet we identify a recurring failure mode in long-form generation:

Neuro-Symbolic Process Anomaly Detection

arXiv:2603.26461v1 Announce Type: cross Abstract: Process anomaly detection is an important application of process mining for identifying deviations from the normal behavior of a process.

Physics-Informed Neural Networks and Sequence Encoder: Application to heating and early cooling of thermo-stamping process

arXiv:2603.26245v1 Announce Type: cross Abstract: In a previous work (Elaarabi et al., 2025b), the Sequence Encoder for online dynamical system identification (Elaarabi et al., 2025a)