LECTOR: LLM-Enhanced Concept-based Test-Oriented Repetition for Adaptive Spaced Learning · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2508.03275/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTLECTOR: LLM-Enhanced Concept-based Test-Oriented Repetition for Adaptive Spaced Learning — mentioned by SamDc73https://news.ycombinator.com/item?id=46266386urn:hackerpapers:mention:2508.03275:46266386Sun, 14 Dec 2025 20:13:18 GMT<p>http://github.com/samdc73/talimio I’m still exploring new forms of AI-powered learning tools. The latest thing I’ve been working on is an adaptive mode inspired by the LECTOR paper [1]. Where each lesson is a single learning concept with a mastery score tight to it based on your understanding of the said concept, so in principle the system can reintroduce concepts you didn’t fully grasp later on, ideally making separate flashcards unnecessary. It can be self-hosted if any one want&#x27;s to give it a try! [1] https://arxiv.org/abs/2508.03275</p><p><a href="https://hackerpaper.kaipfister.de/p/2508.03275/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CL