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Yuxuan Zhou

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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

OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models

OPIS is introduced, an input-grounded benchmark that strictly anchors the assessment to a fixed set of object instances from the initial observation for evaluating multi-object memory in video world models and demonstrates that preserving the particular object instances in the input is considerably harder than generati...

Hao Wang, Tao Yu, Liu-Zhou Zhang et al. · 0 citations
Preprint Aug 2026

A Multimodal Automatic Redteaming Evaluation based on Atomic Jailbreak Strategy Decoupling and Combination

This work proposes a multimodal automated red team jailbreak method named Hierarchical Atomic Combination Attack (HACA), based on a six-dimensional strategy space, where a cross-modal joint planner is used to select and combine the different atomic jailbreak strategy for subsequent jailbreak command generation.

Shiji Zhao, Yuxuan Zhou, Chen Xiong et al. · 0 citations

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