الباحثون

Zhuan Shi

المنشورات 2

نسخة أولية وصول مفتوح

Preemptive LLM Unlearning against Forbidden Capability Acquisition via Gradient Sealing

Kemou Li, Qizhou Wang, Yue Wang وآخرون · 2026

Open-weight LLMs are released not only as fixed products but also as substrates for downstream fine-tuning. This openness, however, creates legal and ethical risks because users may misuse fine-tuning to instill illicit knowledge or enable hostile operations. Model providers therefore need apre-release defense against …

نسخة أولية وصول مفتوح

LLM Persona Unlearning

Kemou Li, Zhuan Shi, Qizhou Wang وآخرون · 2026

Pre-training equips large language models (LLMs) with a broad repertoire of behavioral patterns associated with roles, styles, values, and goals. Post-training teaches conditional enactment and makes a helpful Assistant the default, but it does not erase alternative modes from the weights; explicit prompts can therefor …

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