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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Lingke: A Fine-grained Multi-turn Chatbot for Customer Service · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1808.03430/</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/1808.03430/feed.xml" rel="self" type="application/rss+xml" /><item><title>Lingke: A Fine-grained Multi-turn Chatbot for Customer Service — mentioned by sprobertson</title><link>https://news.ycombinator.com/item?id=37793487</link><guid isPermaLink="false">urn:hackerpapers:mention:1808.03430:37793487</guid><pubDate>Fri, 06 Oct 2023 17:22:08 GMT</pubDate><description>&lt;p&gt;Because &amp;quot;RAG&amp;quot; is shorter than &amp;quot;use a vector db/embeddings coupled with LLM to generate better answers&amp;quot; But better answer: &amp;quot;retrieval augmented&amp;quot; has been used in papers since at least 2018 [1], the full &amp;quot;RAG&amp;quot; acronym since at least 2020 [2], and it was recently repopularized when the GPT3+ hype wave realized they were doing the same thing. [1] https://arxiv.org/abs/1808.03430 [2] https://arxiv.org/abs/2005.11401&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1808.03430/"&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>
