Papers by Qiuyang Mang

1 papers
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards (2026.acl-long)

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Challenge: Existing models are susceptible to reward hacking, leading to a substantial overestimation of a model's reasoning ability.
Approach: They propose a Rubric Reward Model that rewards the entire reasoning trajectory against problem-specific rubrics.
Outcome: The proposed model outperforms outcome-only supervision on four math benchmarks and boosts Verified Pass@1024 from 26.7% to 62.6% and reduces the incidence of Miracle Steps by 71%.

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