ARISE-RL: Agentic Rubric-Grounded Iterative Self-Evolution with Reinforcement Learning
ARISE-RL, a novel full-cycle self-evolution framework that couples a task/rubric Generator and a reasoning Solver through rubric-mediated co-evolution, is proposed and ECR-Bench, an expert-calibrated rubric benchmark suite covering single-tool deep research and multi-tool travel planning is presented.
Fan-Rui Zhang, Rui-Xue Ding, Qiang Zhang et al.
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