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arXiv 2609.38847 · cs.LG · 2026-09-30

Scoring Higher, Answering Worse: Mitigating Reward Hacking in Rubric-Based RL via Protocol-Level Rubrics

Maoqi Liu, Junwei He, Bowen Zhang, Feiran Li, Wentao Ma, Rongyi Lin, Shuhan Zhong, Quan Fang

ByteDance

In latest · #160 Added on 2026-10-21

One-line takeaway

Shows weighted-sum rubric rewards can be hacked (e.g. in clinical consultation) and proposes protocol-level rubrics to fix it.

指出基于评分细则的 RL 用加权求和会被“刷分”(以临床问诊为例),并提出协议级细则加以缓解。

68HF upvotes
22GitHub stars
0Citations (Semantic Scholar)
55.2Buzz score

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Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.

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