Author

Yan-Pei Gong

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#machine learning Preprint Oct 2026

When Non-Adversarial Noise Hurts Learning: Benchmarking Skill Self-Evolution in Agents

RSE-Bench is introduced, to the authors' knowledge the first benchmark for evaluating skill self-evolution under ordinary, non-adversarial noise, and a method-agnostic framework supporting consistent noise injection and process diagnostics of actual exposure and skill updates is introduced.

Tao Yu, Zhong-Tian Luo, Yu-Chen Long et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Earth-Agent-Pro: Towards Real-World Full-Chain Earth Observation with Agents

Real-world Earth observation (EO) agents must translate high-level scientific questions into executable workflows to acquire observations, prepare data, perform domain computations, and derive conclusions from runtime evidence. Existing EO agents typically start from supplied observations, while benchmarks typically pr...

Zhu-Tao Lv, Chen-Hao Dang, Yi-Cong Feng et al. · 0 citations