RLTF: Reinforcement Learning from Unit Test Feedback · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/2307.04349/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTRLTF: Reinforcement Learning from Unit Test Feedback — mentioned by mkw5053https://news.ycombinator.com/item?id=44953052urn:hackerpapers:mention:2307.04349:44953052Tue, 19 Aug 2025 15:56:43 GMT<p>My stack lately has been Next.js with Prettier and very strict lint, type, and complexity gates, plus opinionated tests that aim for real signal over mere coverage theatre. I want to find the time to fine-tune GPT-4o using before/after examples of code that fails the gates and then passes them. The hope being it generates gate-compliant code on the first try much more often, which is cheaper and more reliable than relying on a base model with brute-force retries. I think this might also align with research showing that grounding models in execution feedback yields order-of-magnitude gains in…</p><p><a href="https://hackerpaper.kaipfister.de/p/2307.04349/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.AI