arxiv
PublishedOctober 31, 2026 at 4:00 AM
Co-Evolving Policy and Rubric via Capability Awareness for Open-Ended Generation
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arXiv:2610.38566v1 Announce Type: new Abstract: Rubric-based reinforcement learning (RL) offers interpretable, fine-grained supervision for aligning large language models (LLMs) on open-ended generation tasks. However, static rubric criteria may become saturated or remain beyond the policy's explora
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