arXiv:2605.20189v1 Announce Type: new Abstract: Despite the remarkable success of large language models (LLMs), they still face bottlenecks while deploying…
arXiv:2605.20052v2 Announce Type: replace-cross Abstract: Automatic report labeling facilitates the identification of clinical findings from unstructured text and enables large-scale…
arXiv:2605.21157v1 Announce Type: cross Abstract: In modern warfare, drones are becoming an essential part of intelligence gathering and carrying out…
arXiv:2605.21154v1 Announce Type: cross Abstract: Mental health has become a global priority, leading to a massive administrative burden in the…
arXiv:2605.19729v2 Announce Type: replace-cross Abstract: We demonstrate that in knowledge distillation for diffusion models, the teacher network’s highly complex denoising…
arXiv:2605.19398v2 Announce Type: cross Abstract: Image-to-video models often generate videos that remain overly static, compared to text-to-video models. While prior…
arXiv:2605.18810v1 Announce Type: cross Abstract: Speculative decoding accelerates LLM inference by having a small drafter propose tokens that a larger…
Nature Machine Intelligence, Published online: 21 May 2026; doi:10.1038/s42256-026-01233-9 Long et al. introduce a neural operator method to solve free…
