<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2410.20811/</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/2410.20811/feed.xml" rel="self" type="application/rss+xml" /><item><title>Bridging the Gap between Expert and Language Models: Concept-guided Chess Commentary Generation and Evaluation — mentioned by PaulHoule</title><link>https://news.ycombinator.com/item?id=42209165</link><guid isPermaLink="false">urn:hackerpapers:mention:2410.20811:42209165</guid><pubDate>Thu, 21 Nov 2024 22:05:30 GMT</pubDate><description>&lt;p&gt;People have to quit this kind of stumbling in the dark with commercial LLMs. To get to the bottom of this it would be interesting to train LLMs on nothing but chess games (can synthesize them endlessly by having Stockfish play against itself) with maybe a side helping of chess commentary and examples of chess dialogs “how many pawns are on the board?”, “where are my rooks?”, “draw the board”, competence at which would demonstrate that it has a representation of the board. I don’t believe in “emergent phenomena” or that the general linguistic competence or ability to feign competence is…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2410.20811/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.LG</category></item></channel></rss>
