Hearsay or Fact? How Framing and Elicitation Shape LLM Probability Updates
arXiv:2610.27745v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as judgment assistants and as stand-in participants in…
TamedFlow: Trajectory-Aware Distillation for Teacher-Assisted Diffusion Sampling
arXiv:2610.26025v2 Announce Type: replace-cross Abstract: Diffusion Transformers (DiTs) deliver high-fidelity image and video generation, but inference requires many sequential model…
OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models
arXiv:2609.35052v2 Announce Type: replace-cross Abstract: Video world models must preserve the visual state of the world over time, but existing…
IECG: Weakly-Supervised Interpretability-Enhancing Foundation Model for Electrocardiogram
arXiv:2610.28083v1 Announce Type: new Abstract: Electrocardiography (ECG) is a cornerstone of cardiac diagnosis, yet most machine learning methods for ECG…
Pixels to Tokens: Token Space Efficient Active Learning for Low-Budget Semantic Segmentation
Pixels to Tokens: Token Space Efficient Active Learning for Low-Budget Semantic Segmentation
Called to serve: Tech, research, and positive impact
In the summer of 2010, postdoc Chris White worked with a multidisciplinary team at the Defense Advanced Research Projects Agency,…
Effect sizes for brain-based predictive models of cognition across the lifespan
Communications Psychology, Published online: 20 October 2026; doi:10.1038/s44271-026-00528-2
Lagrangian–Eulerian learning of flow field and trajectories with TrajectoryFlowNet
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…
Agentic inequality
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…
Physics-informed machine learning: a hybrid lens for fluid dynamics
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…