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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2501.13946/</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/2501.13946/feed.xml" rel="self" type="application/rss+xml" /><item><title>Hallucination Mitigation using Agentic AI Natural Language-Based Frameworks — mentioned by bartuu</title><link>https://news.ycombinator.com/item?id=43161793</link><guid isPermaLink="false">urn:hackerpapers:mention:2501.13946:43161793</guid><pubDate>Mon, 24 Feb 2025 16:55:43 GMT</pubDate><description>&lt;p&gt;It&amp;#x27;s nearly impossible to prevent LLMs from hallucinating, which creates a significant reliability problem. Enterprise companies think, &amp;quot;Using agents could save me money, but if they do the job wrong, the damage outweighs the benefits.&amp;quot; However, there&amp;#x27;s openness to using agents for non-customer-facing parts and non-critical tasks within the company. The developers of an e-commerce infrastructure approached us because the format of manufacturer&amp;#x27;s files doesn&amp;#x27;t match their e-commerce site&amp;#x27;s Excel format, and they can&amp;#x27;t solve it with RPA due to minor differences. They asked if we could perform…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2501.13946/"&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>
