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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2308.08155/</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/2308.08155/feed.xml" rel="self" type="application/rss+xml" /><item><title>AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation — mentioned by smarm52</title><link>https://news.ycombinator.com/item?id=40433059</link><guid isPermaLink="false">urn:hackerpapers:mention:2308.08155:40433059</guid><pubDate>Tue, 21 May 2024 19:54:32 GMT</pubDate><description>&lt;p&gt;Edit: Annoying the articles doesn&amp;#x27;t come with citations. A bit of research showed these are probably their sources: Li, H., Chong, Y. Q., Stepputtis, S., Campbell, J., Hughes, D., Lewis, M., &amp;amp; Sycara, K. (2023). Theory of mind for multi-agent collaboration via large language models. arXiv preprint arXiv:2310.10701. Du, Y., Li, S., Torralba, A., Tenenbaum, J. B., &amp;amp; Mordatch, I. (2023). Improving factuality and reasoning in language models through multiagent debate. arXiv preprint arXiv:2305.14325. Wu, Q., Bansal, G., Zhang, J., Wu, Y., Zhang, S., Zhu, E., ... &amp;amp; Wang, C. (2023). Autogen…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2308.08155/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation — HN submission</title><link>https://news.ycombinator.com/item?id=37788964</link><guid isPermaLink="false">urn:hackerpapers:submission:2308.08155:37788964</guid><pubDate>Fri, 06 Oct 2023 10:34:02 GMT</pubDate><description>&lt;p&gt;AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;1 point; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2308.08155/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation — HN submission</title><link>https://news.ycombinator.com/item?id=37779462</link><guid isPermaLink="false">urn:hackerpapers:submission:2308.08155:37779462</guid><pubDate>Thu, 05 Oct 2023 14:59:45 GMT</pubDate><description>&lt;p&gt;AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2308.08155/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item><item><title>AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation — mentioned by simonmesmith</title><link>https://news.ycombinator.com/item?id=37657961</link><guid isPermaLink="false">urn:hackerpapers:mention:2308.08155:37657961</guid><pubDate>Tue, 26 Sep 2023 11:55:40 GMT</pubDate><description>&lt;p&gt;Preprint from August: https://arxiv.org/abs/2308.08155 Docs: https://microsoft.github.io/autogen/docs/Research/ Repo: https://github.com/microsoft/autogen Installs via pip: pip install pyautogen Looks like another agent framework, of which I’ve tried several and been disappointed… but I still put trying this on my to-do list because you never know. Open Interpreter proved to be a pleasant surprise recently.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2308.08155/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.AI</category></item></channel></rss>
