On-policy self-distillation (OPSD) lets a language model learn from a frozen copy of itself that sees an answer or a worked solution. Giving the teacher this extra information seems to offer the student more to learn, but how much does it add beyond distillation itself? To isolate that contribution, we construct AMPLE-...
XiuYu Zhang, Wei Chow, Jun-Feng Fang et al.
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PiMRef is proposed, the first reference-based solution to detect ever-evolving phishing emails using knowledge-based invariants, targeting the identity-impersonation attacks that characterize spear-phishing.
Ruo-Fan Liu, Yun Lin, Yu-Xin Wang et al.
· 4 citations
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Ruofan Liu, Yun Lin, Yu-Xin Wang et al.
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Preprint
Aug 2026
This work presents Language Model Security Modules (LMSM), a security framework that adapts the separation behind Linux Security Modules (LSM) to LLM serving and gives advances in interpretability and model-internal analysis a common path to runtime enforcement.
XiuYu Zhang, Bo-Nan Ruan, Jun-Feng Fang et al.
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Self-Evaluation Elicitation (SEE) is introduced, a method that surfaces a latent ability to predict how a judge will score its own output through a short cycle comprising a calibration-coupled reinforcement learning phase that improves the answer and predicts the judge, followed by a masked distillation phase that shar...
XiuYu Zhang, Yingyu Shan, Junfeng Fang et al.
· arXiv.org · 2 citations
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