<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2409.19700/</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/2409.19700/feed.xml" rel="self" type="application/rss+xml" /><item><title>2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models — mentioned by fi-le</title><link>https://news.ycombinator.com/item?id=44472059</link><guid isPermaLink="false">urn:hackerpapers:mention:2409.19700:44472059</guid><pubDate>Sat, 05 Jul 2025 11:43:56 GMT</pubDate><description>&lt;p&gt;Good point. The architectural solution that would come to mind is 2D text embeddings, i.e. we add 2 sines and cosines to each token embedding instead of 1. Apparently people have done it before: https://arxiv.org/abs/2409.19700v2&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2409.19700/"&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>
