ARCO introduces a rubric framework that enables step-level credit assignment for multi-step LLM agents. It jointly updates a shared model with generation and scoring heads, allowing the rubric content and scoring function to co-evolve via on-policy data, improving performance and interpretability across benchmarks.
arxiv
arXiv cs.AI
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46d ago
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src: 51d ago
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research
ARCO: Adaptive Rubric with Co-Evolution for Multi-Step LLM Agents
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