ASK-NN: An Asymmetric Nearest-Neighbor Test that detects Distribution Drifts in Natural Language

arXiv:2607.15607 · cs.LG, stat.ML · Submitted 2026-07-17 · Read on arXiv

Sergey Zakharov, Rodion Oblovatny, Alexey Zaytsev

cs.LG, stat.ML

Submitted: 2026-07-17

Comments: 9 pages, 4 figures

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Hallucination — 33× in this paper · explained in 4 episodes
• Hallucination Detection — 18× in this paper · explained in 2 episodes
• Benchmark — 11× in this paper · explained in 2 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Calibration — 9× in this paper · explained in 9 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• RAG — 7× in this paper · explained in 3 episodes
• Asymptotic Normality — 4× in this paper · explained in 2 episodes
• AUC — 3× in this paper · explained in 2 episodes
• Maximum Mean Discrepancy — 3× in this paper
• Papers — 3× in this paper · explained in 3 episodes
• Anisotropy — 1× in this paper · explained in 4 episodes
• Attention Maps — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Editor — 1× in this paper · explained in 2 episodes
• Evaluation Protocol — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 14 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Language Models (LLMs) — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 9 episodes
• Maximum Mean Discrepancy (MMD) — 1× in this paper · explained in 3 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Retrieval-Augmented Generation (RAG) — 1× in this paper · explained in 21 episodes
• Self-Consistency — 1× in this paper · explained in 3 episodes
• Sinkhorn Divergency — 1× in this paper
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Uncertainty Quantification — 1× in this paper · explained in 9 episodes

Sources

• A Wild Bootstrap for Degenerate Kernel Tests
• Hallucination Detection in LLMs with Topological Divergence on Attention Graphs
• Hallucination Detection: A Probabilistic Framework Using Embeddings Distance Analysis
• How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection
• Multilingual E5 Text Embeddings: A Technical Report
• DeepSeek-V3 Technical Report
• Probabilistic distances-based hallucination detection in LLMs with RAG

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