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Reward Hacking in Rubric-Based Reinforcement Learning research paper by Scale AI, 2026

Scale AI · May 12, 2026 · Reasoning · 4 upvotes 4 months ago

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What it shows

Research examines reward hacking in rubric-based reinforcement learning, identifying verifier failure and rubric-design limitations as key sources of divergence between training and evaluation metrics.

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

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About this paper
Authors
Anas Mahmoud, MohammadHossein Rezaei, Zihao Wang and 3 more
arXiv
2605.12474 · PDF
Citations
Not counted yet · Semantic Scholar
Upvotes
4 · Hugging Face
Lab
Scale AI · on Companies · on Acquisitions

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New paperAdded to the listSep 26, 2026today

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