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OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens

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arxiv 2504.07096 v2 pith:PRJDSKCC submitted 2025-04-09 cs.CL

OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens

classification cs.CL
keywords languageolmotracetrainingmodelsbackdatamodeloutputs
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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We present OLMoTrace, the first system that traces the outputs of language models back to their full, multi-trillion-token training data in real time. OLMoTrace finds and shows verbatim matches between segments of language model output and documents in the training text corpora. Powered by an extended version of infini-gram (Liu et al., 2024), our system returns tracing results within a few seconds. OLMoTrace can help users understand the behavior of language models through the lens of their training data. We showcase how it can be used to explore fact checking, hallucination, and the creativity of language models. OLMoTrace is publicly available and fully open-source.

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Forward citations

Cited by 6 Pith papers

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