Nviditian investigators suggested confirmation of learning learning (RLP): Strengthened as an intention of misunderstanding of thinking on time

Why this is important about technology: Unlike “the validity of the lawlessness of the law sparse, binary Signals of Signals or Representatives, RLP's dense, Verifier-free Pasting a reward Wise debt Wherever thinking promotes prediction, enabling updates to All tokens positions To the General Web-Scale Corporal outside the external verifiers or keyword keys.

Understanding the results

QWEN3-1.7B-Base: Hypocriticism by RLP promoted mathematical scales with ~ 19% vs basic model including ~ 17% vs continuous compute-packed of uniformity (CPT). Afterwards The same training is the same (sft + rlvr) In all kinds, RLP-notation model stored a ~ 7-8% of the relative Benefits, for the largest benefits from critical benches (AIES25, Mmlu-pro).

And Metrono-Nano-12b V2: Using RLP in 12b Hybrid Mbamba-transformer Testing is produced by an Increased Interior Increase from 42.81% to 61.32% with Completely + 23% Benefits in Scientific Thinkingwhether RLP Run has been used ~ 200B a few tokens (Training of 19.8t vs 20t tokens; RLP has installed a request 250m tokens). This is outstanding Data functionality including Buildings-Agnostic moral.

RPT comparison: Under the comparison of information and combined with Omni-Math-Style Settings, RLP RPT In Mathematics, Science, and Full Ratings – which are listed in RLP's Continuous Details – Profit Rate rps rp rsp Sparse Binary Signals and Entropy tokens are filtered.

VS shape. Training of RL

Authentication of learning learning (RLP) by orthogonal in the following training pipes (Soup, Rlvr) the exhibitions unification improvement after normal alignment. Because reward is calculated from the log-proof model rather than giving external guarantees, weigh it to Domain-Agnostic Coccara (Web Crawl, Education Text, Booknings) and Sort-Tyk Reasoning Companyto avoid jewelry for limited knowledge. In a limited combination of combined (including CPT with 35 tokens × onto to match flops), RLP is still represented in the full Averages, suggests the improvement available from Purpose of purposenot a budget.

Healed Key

• RLP makes reflecting for self-consciousness: Sample Chain-of-Femection before predicting the following token and leaking it with Details of Benefits over the ENA-imaginary foundation.
• Verifier-free, Swee, Position-wise: It works in regular streams without external Graders, which allows fraudulent renewal updates to all tokens.
• QWEN3-1.7B results: + 19% vs foundation and + 17% vs cpt-uniformed CPT in time of pretense; With visual SFT + RLVR, RLP stores benefits ~ 7-8% benefits (largest in AIME25, MMLU-Pro).
• Nemetron-Nano-12B V2: It's a normal average rises 42.81%% → 61.32% (+18.51 PP; ~ 35-43% Rel.) +23 Points With science thoughts, using a few tokens of ~ 200b a few NTP.
• Details of important training: Review gradients only in the thought-related tokens with a combined suitrogate and group related benefits; More issuance (≈16) and long lengths of imagination (≈2020) help; Token-level KL Ancharoring Dedicity.

Store

RLP functions in order to be “Include – Before” Collaboration “and Finding Long-Long-Long-Long-Pipelo-Pipeline Nono. Active in Next-Token Add-on instead of the next import.

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