How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2602.08808/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTHow2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs — mentioned by maxlohhttps://news.ycombinator.com/item?id=46963492urn:hackerpapers:mention:2602.08808:46963492Tue, 10 Feb 2026 17:30:44 GMT<p>From Allen AI&#x27;s Discord: Introducing *How2Everything*—an open framework for benchmarking &amp; improving how LLMs generate step-by-step procedures. LLMs constantly produce instructions for everything from filing taxes to plans for AI agents, but improving this capability is challenging. Outputs can sound fluent while describing steps that don&#x27;t actually work, surface-level metrics miss critical mistakes like omitted prerequisites or contradictory instructions, and manual verification doesn&#x27;t scale. How2Everything closes this gap with a practical loop: mine real procedures from the web → benchmark…</p><p><a href="https://hackerpaper.kaipfister.de/p/2602.08808/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.LG