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arXiv· arXiv:2604.02008· Kahim Wong, Kemou Li, Haiwei Wu, Jiantao Zhou·Indexed by this site · Originally published

kNNProxy: Efficient training-free proxy alignment for black-box zero-shot LLM-generated text detection

$k$NNProxy: Efficient Training-Free Proxy Alignment for Black-Box Zero-Shot LLM-Generated Text Detection

AI summary

kNNProxy is a training-free, query-efficient proxy alignment framework for black-box zero-shot detection of LLM-generated text. It uses the kNN-LM retrieval mechanism as a domain adapter for a fixed proxy LLM: a lightweight datastore is built once from the target corpus, and at inference nearest-neighbor evidence is interpolated with the proxy output, without fine-tuning the proxy or making per-token API calls. Its extension MoP routes inputs by domain to improve robustness to domain shift.

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