Robust Detection of LLM-Generated Text under Contamination

arXiv:2609.29935 · stat.ML, cs.LG · Submitted 2026-09-24 · Read on arXiv

stat.ML, cs.LG

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

• Calibration — 22× in this paper · explained in 7 episodes
• Robustness — 12× in this paper · explained in 5 episodes
• Benchmark — 8× in this paper · explained in 2 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Conformal Prediction — 1× in this paper · explained in 5 episodes
• Contextual Bandits — 1× in this paper · explained in 3 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Perplexity — 1× in this paper · explained in 3 episodes
• Provenance — 1× in this paper · explained in 3 episodes
• Theoretical Guarantees — 1× in this paper · explained in 2 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature
• A Training-free Method for LLM Text Attribution
• Can AI-Generated Text be Reliably Detected?
• Huber-robust likelihood ratio tests for composite nulls and alternatives
• $k$NNProxy: Efficient Training-Free Proxy Alignment for Black-Box Zero-Shot LLM-Generated Text Detection
• Large Language Models as Markov Chains

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