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cs.AI2026
EvalRx: Agentic Diagnosis and Verified Repair of Foundation Models
Jiaqi Liu, Ruinan Jin, Yitong Tang +4
Model evaluation reveals where models fail, but rarely why or whether a proposed fix genuinely works. We introduce EvalRx, an open-source agentic framework for statistically ground…
cs.AI2026
Self-Evolving Agents via Likelihood-Guided Tool-Space Optimization
Xuanqi Zhang, Ruinan Jin, Running Yang +4
Self-evolving agents can continually improve their behavior, while tools define the executable action space through which they interact with the environment. However, exposing the…