<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Vision-Language-Models on skulldc</title><link>https://skulldc.net/tags/vision-language-models/</link><description>Recent content in Vision-Language-Models on skulldc</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Sat, 07 Nov 2026 10:25:32 +0000</lastBuildDate><atom:link href="https://skulldc.net/tags/vision-language-models/index.xml" rel="self" type="application/rss+xml"/><item><title>VFlash predicts whole visual plan primitives in one pass instead of token by token</title><link>https://skulldc.net/2026/11/vflash-predicts-whole-visual-plan-primitives-in-one-pass-instead-of-to/</link><pubDate>Sat, 07 Nov 2026 10:25:32 +0000</pubDate><guid>https://skulldc.net/2026/11/vflash-predicts-whole-visual-plan-primitives-in-one-pass-instead-of-to/</guid><description>An NVIDIA paper replaces coordinate-by-coordinate decoding of points, boxes and trajectories with a drafter that emits each primitive at once, reporting fewer errors and faster generation.</description></item></channel></rss>