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The Path Not Taken: RLVR Provably Learns Off the Principals research paper by Meta, 2025

Meta · Nov 11, 2025 · Reasoning · 49 citations · 37 upvotes · unverified

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What it shows

Reinforcement Learning with Verifiable Rewards (RLVR) improves large language models by updating a limited set of parameters, which is explained by a Three-Gate Theory, revealing distinct optimization dynamics compared to supervised fine-tuning.

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Authors
Hanqing Zhu, Zhenyu Zhang, Hanxian Huang and 11 more
arXiv
2511.08567 · PDF
Venue
arXiv.org
Citations
49, 5 influential · Semantic Scholar
Upvotes
37 · Hugging Face
Lab
Meta · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf

Changes

What changed
Influential citationsfirst count: 5Sep 25, 2026
Citationsfirst count: 49Sep 25, 2026
New paperFound by the weekly scan, unverifiedSep 25, 2026

Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.

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