Author

Shikai Qiu

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Preprint Aug 2026

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization

Modern systems are increasingly expected to transfer across tasks not specified during training. What data facilitates generalization in these new, unanticipated settings? One hypothesis is that data with more structural information could contain shared circuits and subprograms that could be recycled in a wider array o...

Ellen Su, Andres Potapczynski, Shikai Qiu et al. · 0 citations

Jul 2026

Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data

Compression is fundamental to intelligence. A model that can represent its training data as a short code has discovered regularities that enable generalization. Large neural networks may learn functions far simpler than their parameter counts suggest, but it is challenging to construct codes that realize this simplicit...

Shikai Qiu, Marc Finzi, Yujia Zheng et al. · arXiv.org · 0 citations

Preprint Jun 2026

Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety

As large language models are increasingly deployed in real-world systems, safety failures can still lead to harmful outputs and dangerous misuse. We argue that the essence of safety is adversarial: many failures arise not from natural inputs alone, but from strategic attempts to evade model policies and safeguards. How...

Ting Ma, Xiufeng Huang, Benlei Cui et al. · 0 citations