Author

Ye He

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#machine learning Jun 2026

RogueMerge: Robust and Unified Attacks against LLM Model Merging

RogueMerge is presented, the first unified attack framework addressing all three challenges of model merging: autoregressive generation, static arithmetic with a joint optimization that explicitly enforces attack success after merging, and attack injection as a stochastic min-max optimization problem and solve it via m...

Jing-Huai Zhang, Ye He, Kun-Lin Cai et al. · arXiv.org · 1 citation

#artificial intelligence Preprint Aug 2026

CogEvol: Towards Efficient and Reliable Learning Environment Generation

CogEvol, a family of models trained specifically for Learning Environment Generation: turning a course brief into a finished learning artifact (structured-JSON slides or self-contained interactive HTML pages) in a single pass, lowering the unit cost of AI-native education at scale.

Shangqing Tu, Daniel Zhang-Li, Yu-Cheng Wang et al. · 0 citations