扩散变换器虽强但计算开销大，后训练剪枝技术如何高效优化？这篇论文给出新方案。
arXiv:2607.00927v1 Announce Type: cross Abstract: Diffusion Transformers (DiTs) have demonstrated impressive performance in image generation but suffe…
RTX 6000 Pro跑DiffusionGemma飙出775 tok/s，本地AI推理性能天花板再刷新。
Article URL: https://twitter.com/OrganicGPT/status/2064883777499795716 Comments URL: https://news.ycombinator.com/item?id=48496739 Points: 4 # Comment…
DLLM解码计算并行化存在严重低效，只有少数token可解码，此文精准定位瓶颈并提出优化方向。
arXiv:2601.23278v2 Announce Type: replace Abstract: Diffusion Large Language Models (DLLMs) offer a compelling alternative to Auto-Regressive models, …
Google开源DiffusionGemma，非自回归文本模型，速度提升4倍，类似图像去噪生成。
Diffusion AI is most common in image generation, but it can make text outputs much faster.
融合显著性token选择与部分注意力，加速扩散LLM推理，被ICML 2026接收，效率提升显著。
arXiv:2603.08026v2 Announce Type: replace-cross Abstract: Masked diffusion language models enable parallel token decoding, providing a promising alter…
物理信息融合的基础模型，突破定量扩散MRI瓶颈，实现全脑微结构无创精准映射
arXiv:2606.00156v1 Announce Type: cross Abstract: Understanding the human brain requires access to its microscopic tissue architecture. Diffusion magn…
NaRA提出噪声感知LoRA，显著提升扩散大语言模型参数高效微调效果
arXiv:2605.29716v1 Announce Type: new Abstract: Diffusion Large Language Models (dLLMs) have emerged as a promising non-autoregressive generative para…
扩散模型与大语言模型联手攻克视觉语音识别，开辟唇读与无声交互新路径
arXiv:2605.28456v1 Announce Type: new Abstract: Existing Visual Speech Recognition (VSR) systems commonly rely on left-to-right autoregressive decodin…
介绍分数差流方法，通过对比分数估计实现高效的隐式生成建模，为生成模型提供新思路
arXiv:2304.12906v5 Announce Type: replace Abstract: Implicit generative modeling (IGM) aims to produce samples of synthetic data matching the characte…
评估LLMLingua-2在扩散大模型LLaDA上的提示压缩效果，探索高效推理新路径。
arXiv:2605.17932v1 Announce Type: new Abstract: Prompt compression reduces inference cost and context length in large language models, but prior evalu…
动态分辨率扩散模型降低图像修复计算开销，避免重复编解码，实现高效恢复。
arXiv:2605.14267v1 Announce Type: cross Abstract: Diffusion models (DMs) have exhibited remarkable efficacy in various image restoration tasks. Howeve…