提出多范围视觉重采样方法，显著提升多模态大语言模型的效率与性能。
arXiv:2606.31383v1 Announce Type: new Abstract: Multimodal large language models (MLLMs) typically employ resampling-based projectors to transform den…
基于扩散模型的可微分重采样，实现高质量图像生成与编辑，创新性地融合了重采样与扩散过程。
arXiv:2512.10401v3 Announce Type: replace-cross Abstract: This paper is concerned with differentiable resampling in the context of sequential Monte Ca…
探讨AI编码工具中重试机制的安全漏洞，揭示恶意模型如何利用监控理由进行对抗
arXiv:2605.26047v1 Announce Type: new Abstract: AI coding scaffolds like Claude Code and Codex use \textit{retrying}: blocking actions flagged as risk…