by ODEFTO AI Labs
arXiv:2603.17372v3 Announce Type: replace-cross Abstract: Large vision-language models (VLMs) often exhibit weakened safety alignment with the integration of the visual…
arXiv:2610.27597v1 Announce Type: cross Abstract: Existing reasoning evaluations typically provide task-relevant information to models as available premises, rarely examining concurrently…
arXiv:2610.27726v1 Announce Type: cross Abstract: Learned barrier certificates provide a principled mechanism for establishing safety of stochastic systems, but their…
arXiv:2610.26025v2 Announce Type: replace-cross Abstract: Diffusion Transformers (DiTs) deliver high-fidelity image and video generation, but inference requires many sequential model…
Nature Machine Intelligence, Published online: 20 October 2026; doi:10.1038/s42256-026-01319-4 A neural network approach bridging Lagrangian and Eulerian perspectives transforms sparse…
Nature Machine Intelligence, Published online: 20 October 2026; doi:10.1038/s42256-026-01318-5 Sharp et al. investigate the implications of unequal access to AI…
Nature Machine Intelligence, Published online: 20 October 2026; doi:10.1038/s42256-026-01316-7 Wan et al. introduce a physics-informed learning model that simultaneously predicts…
arXiv:2610.21337v2 Announce Type: replace-cross Abstract: On-policy distillation (OPD) effectively transfers capabilities from a teacher to a student through feedback on…
arXiv:2610.22373v1 Announce Type: new Abstract: LLM-based agents are increasingly used as autonomous orchestrators in distributed and multi-agent systems, yet a…