Semantic similarity between LLM responses, with a fitted threshold of 0.5, separates same-model outputs from random responses and yields 76.5 percent held-out verification accuracy in a trusted-node setting.
Towards encrypted large language models with FHE, August 2023
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Validation of GPU Computation in Decentralized, Trustless Networks
Semantic similarity between LLM responses, with a fitted threshold of 0.5, separates same-model outputs from random responses and yields 76.5 percent held-out verification accuracy in a trusted-node setting.