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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Language Models Still Struggle to Zero-shot Reason about Time Series · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2404.11757/</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/2404.11757/feed.xml" rel="self" type="application/rss+xml" /><item><title>Language Models Still Struggle to Zero-shot Reason about Time Series — mentioned by RealLast</title><link>https://news.ycombinator.com/item?id=45443821</link><guid isPermaLink="false">urn:hackerpapers:mention:2404.11757:45443821</guid><pubDate>Wed, 01 Oct 2025 21:32:46 GMT</pubDate><description>&lt;p&gt;You guys are so funny, when papers like these exist: https://arxiv.org/abs/2404.11757 Numerous research, INCLUDING the OpenTSLM paper has PROVEN they are NOT able to do this out of the box. Did you even check out the results at all? They literally compare OpenTSLM against standard text only baselines. Gemma3-270M performs better than GPT-4o using tokenized time series alone. Thus, I guess you guys are being ironic.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2404.11757/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
