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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2406.04470/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/2406.04470/feed.xml" rel="self" type="application/rss+xml" /><item><title>DiffuSyn Bench: Evaluating Vision-Language Models on Real-World Complexities with Diffusion-Generated Synthetic Benchmarks — mentioned by cratermoon</title><link>https://news.ycombinator.com/item?id=43194775</link><guid isPermaLink="false">urn:hackerpapers:mention:2406.04470:43194775</guid><pubDate>Thu, 27 Feb 2025 14:41:49 GMT</pubDate><description>&lt;p&gt;Agree wholeheartedly. Modern OCR is astonishingly good, more importantly it&amp;#x27;s deterministically so. It&amp;#x27;s failure modes, when it&amp;#x27;s unable to read the text, are recognizably failures. Results for VLM accuracy &amp;amp; precision are not good. https://arxiv.org/html/2406.04470v1#S4&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2406.04470/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CV</category></item></channel></rss>
