Author

Qiuchen Wang

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#artificial intelligence Preprint Sep 2026

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. · 0 citations

#artificial intelligence May 2026

AsyncTool: Evaluating the Asynchronous Function Calling Capability under Multi-Task Scenarios

This work proposes AsyncTool, a benchmark for assessing LLM-based agents in interactive multi-task tool-use environments with delayed tool feedback, and constructs a diverse asynchronous multitasking dataset that covers multiple scenarios and tool-use patterns.

Kou Shi, Ziao Zhang, Shi-Ting Huang et al. · arXiv.org · 3 citations