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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>MASS: Masked Sequence to Sequence Pre-training for Language Generation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1905.02450/</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/1905.02450/feed.xml" rel="self" type="application/rss+xml" /><item><title>MASS: Masked Sequence to Sequence Pre-training for Language Generation — mentioned by alephnerd</title><link>https://news.ycombinator.com/item?id=41563682</link><guid isPermaLink="false">urn:hackerpapers:mention:1905.02450:41563682</guid><pubDate>Tue, 17 Sep 2024 03:07:30 GMT</pubDate><description>&lt;p&gt;&amp;gt; Care to give some examples In the 2010s they were the leader in NLP and the precursor of LLMs like GPT3/3.5/4/4o Machine Translation with Human Parity (2018) - https://arxiv.org/abs/1803.05567 MT-DNN (2019) - https://arxiv.org/abs/1901.11504 MASS (2019) - https://arxiv.org/abs/1905.02450 VALL-E (2023) - https://arxiv.org/abs/2301.02111 VALL-E 2 (2024) - https://arxiv.org/abs/2406.05370 While OpenAI was the first to monetize an LLM at scale via ChatGPT, it&amp;#x27;s still the early stages of this field, and there is a lot of innovation that can still be leveraged, especially in non-English language…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1905.02450/"&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>
