LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2608.13545/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTLittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure — mentioned by montebicyclelohttps://news.ycombinator.com/item?id=49317923urn:hackerpapers:mention:2608.13545:49317923Sun, 16 Aug 2026 08:05:42 GMT<p>Really cool work. I guess the area of scrutiny is the text filtering, where training text is filtered to get to `&lt;=fifth_grade` material. I would have liked to have seen examples of what is in this training set, but paper [1] seems to only show examples of what was excluded, and dataset doesn&#x27;t look like it&#x27;s been released yet. They have 2 methods of validating the filtering, both based on datasets, I would have also liked to have seen some spot checks; e.g. randomly sample some text from the dataset, and get a human to say whether they think it&#x27;s &lt;=fifth_grade or not. (They do imply in the…</p><p><a href="https://hackerpaper.kaipfister.de/p/2608.13545/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CL