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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Can Pre-trained Language Models be Used to Resolve Textual and Semantic Merge Conflicts? · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2111.11904/</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/2111.11904/feed.xml" rel="self" type="application/rss+xml" /><item><title>Can Pre-trained Language Models be Used to Resolve Textual and Semantic Merge Conflicts? — mentioned by wetneb</title><link>https://news.ycombinator.com/item?id=42094354</link><guid isPermaLink="false">urn:hackerpapers:mention:2111.11904:42094354</guid><pubDate>Sat, 09 Nov 2024 13:40:15 GMT</pubDate><description>&lt;p&gt;There are attempts to do that, such as https://arxiv.org/abs/2111.11904 or https://arxiv.org/abs/2109.00084. I couldn&amp;#x27;t find any open source implementation though. I&amp;#x27;m personally not so keen to use LLMs for merging: I want it to be quick and predictable.&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2111.11904/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SE</category></item></channel></rss>
