Author

Jing-Min Zhu

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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

Preprint Oct 2026

RailWave: Adaptive Spatial and Temporal Scheduling for Expert-Parallel Communication

Irregular All-to-All communication is a major bottleneck in expert-parallel Mixture-of-Experts (MoE) models. Even with fixed expert routing and placement, uneven utilization of parallel network Rails and incast can limit communication performance. We present RailWave, a phase-adaptive communication layer built on DeepE...

Chu-Tian Wang, Wen-Hao He, Jing-Min Zhu et al. · 1 citation