Preconditioned inexact stochastic ADMM for deep models
Nature Machine Intelligence, Published online: 20 February 2026; doi:10.1038/s42256-026-01182-3 Zhou et al. develop PISA, an optimizer for deep learning models…
FlowPrefill: Decoupling Preemption from Prefill Scheduling Granularity to Mitigate Head-of-Line Blocking in LLM Serving
arXiv:2602.16603v1 Announce Type: cross Abstract: The growing demand for large language models (LLMs) requires serving systems to handle many concurrent…
CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
arXiv:2504.19223v4 Announce Type: replace-cross Abstract: Spectral imaging offers promising applications across diverse domains, including medicine and urban scene understanding, and…
Prompt When the Animal is: Temporal Animal Behavior Grounding with Positional Recovery Training
arXiv:2405.05523v2 Announce Type: replace-cross Abstract: Temporal grounding is crucial in multimodal learning, but it poses challenges when applied to animal…
A Survey: Spatiotemporal Consistency in Video Generation
arXiv:2502.17863v2 Announce Type: replace-cross Abstract: Video generation aims to produce temporally coherent sequences of visual frames, representing a pivotal advancement…
PolicyPad: Collaborative Prototyping of LLM Policies
arXiv:2509.19680v2 Announce Type: replace-cross Abstract: As LLMs gain adoption in high-stakes domains like mental health, domain experts are increasingly consulted…
