SynthSentry: Detecting Synthetic Data Contamination in Language Model Training Data
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arXiv:2609.12353v1 Announce Type: new Abstract: Large language models trained recursively on their own or other models' outputs undergo model collapse, in which distributional tails and factual accuracy deteriorate while fluency survives. Prior work diagnoses collapse after training; the actionable…
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- 2026-09-14 04:00 · arXiv cs.CL
SynthSentry: Detecting Synthetic Data Contamination in Language Model Training Data