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Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR research paper by Scale AI, 2026

Scale AI · Training and scaling · May 19, 2026 · 13 citations · 5 upvotes

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What it shows

POW3R is a policy-aware framework for reinforcement learning with rubric-based rewards that adapts criterion weights during training to improve policy optimization while preserving human-defined criteria importance.

By Utkarsh Tyagi, Xingang Guo, MohammadHossein Rezaei and 5 more · arXiv 2605.20164 · PDF

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

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Topic
About this paper
Venue
arXiv.org
Citations
13, 3 influential · Semantic Scholar
Upvotes
5 · Hugging Face
Lab
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Changes

CitationsNov 9, 2026Citations rose from 12 to 13.
CitationsNov 2, 2026Influential citations rose from 2 to 3.
CitationsNov 2, 2026Citations rose from 10 to 12.
CitationsOct 12, 2026Influential citations rose from 1 to 2.
CitationsOct 12, 2026Citations rose from 9 to 10.
CitationsOct 5, 2026Influential citations rose from 0 to 1.
CitationsOct 5, 2026Citations rose from 6 to 9.
CitationsSep 28, 2026A first count of 0 influential citations.
CitationsSep 28, 2026A first count of 6 citations.
New paperSep 26, 2026Added to the list.