الباحثون

Shengfang Zhai

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نسخة أولية وصول مفتوح

zkLLMPoT: Efficient Zero Knowledge Proof of Training for Large Language Models

Junkai Liang, Zhanpeng Guo, Pengfei Wu وآخرون · 2026

Auditing the claimed outcomes of large language model (LLM) training is challenging when model weights and training data are private, while cryptographically proving the full training process is prohibitively expensive at Transformer scale. We present zkLLMPoT, a zero-knowledge framework that certifies auditor-defined …

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