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UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05910v1 Announce Type: new Abstract: Reinforcement learning (RL) excels on tasks with verifiable rewards, but in open-ended tasks, the reliability of reward models remains a key challenge. Existing solutions either depend on costly proprietary LLM-as-a-Judge systems or opaque scalar rewa…

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  1. 2026-09-09 04:00 · arXiv cs.CL
    UniRRM: Unified Reasoning Reward Models Across Languages and Evaluation Paradigms

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