@inproceedings{liu-etal-2025-olmotrace,
title = "{OLM}o{T}race: Tracing Language Model Outputs Back to Trillions of Training Tokens",
author = "Liu, Jiacheng and
Blanton, Taylor and
Elazar, Yanai and
Min, Sewon and
Chen, Yen-Sung and
Chheda-Kothary, Arnavi and
Tran, Huy and
Bischoff, Byron and
Marsh, Eric and
Schmitz, Michael and
Trier, Cassidy and
Sarnat, Aaron and
James, Jenna and
Borchardt, Jon and
Kuehl, Bailey and
Cheng, Evie Yu-Yen and
Farley, Karen and
Anderson, Taira and
Albright, David and
Schoenick, Carissa and
Soldaini, Luca and
Groeneveld, Dirk and
Pang, Rock Yuren and
Koh, Pang Wei and
Smith, Noah A. and
Lebrecht, Sophie and
Choi, Yejin and
Hajishirzi, Hannaneh and
Farhadi, Ali and
Dodge, Jesse",
editor = "Mishra, Pushkar and
Muresan, Smaranda and
Yu, Tao",
booktitle = "Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)",
month = jul,
year = "2025",
address = "Vienna, Austria",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2025.acl-demo.18/",
doi = "10.18653/v1/2025.acl-demo.18",
pages = "178--188",
ISBN = "979-8-89176-253-4",
abstract = "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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%0 Conference Proceedings
%T OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
%A Liu, Jiacheng
%A Blanton, Taylor
%A Elazar, Yanai
%A Min, Sewon
%A Chen, Yen-Sung
%A Chheda-Kothary, Arnavi
%A Tran, Huy
%A Bischoff, Byron
%A Marsh, Eric
%A Schmitz, Michael
%A Trier, Cassidy
%A Sarnat, Aaron
%A James, Jenna
%A Borchardt, Jon
%A Kuehl, Bailey
%A Cheng, Evie Yu-Yen
%A Farley, Karen
%A Anderson, Taira
%A Albright, David
%A Schoenick, Carissa
%A Soldaini, Luca
%A Groeneveld, Dirk
%A Pang, Rock Yuren
%A Koh, Pang Wei
%A Smith, Noah A.
%A Lebrecht, Sophie
%A Choi, Yejin
%A Hajishirzi, Hannaneh
%A Farhadi, Ali
%A Dodge, Jesse
%Y Mishra, Pushkar
%Y Muresan, Smaranda
%Y Yu, Tao
%S Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)
%D 2025
%8 July
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-253-4
%F liu-etal-2025-olmotrace
%X 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.
%R 10.18653/v1/2025.acl-demo.18
%U https://aclanthology.org/2025.acl-demo.18/
%U https://doi.org/10.18653/v1/2025.acl-demo.18
%P 178-188
Markdown (Informal)
[OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens](https://aclanthology.org/2025.acl-demo.18/) (Liu et al., ACL 2025)
ACL
- Jiacheng Liu, Taylor Blanton, Yanai Elazar, Sewon Min, Yen-Sung Chen, Arnavi Chheda-Kothary, Huy Tran, Byron Bischoff, Eric Marsh, Michael Schmitz, Cassidy Trier, Aaron Sarnat, Jenna James, Jon Borchardt, Bailey Kuehl, Evie Yu-Yen Cheng, Karen Farley, Taira Anderson, David Albright, Carissa Schoenick, Luca Soldaini, Dirk Groeneveld, Rock Yuren Pang, Pang Wei Koh, Noah A. Smith, Sophie Lebrecht, Yejin Choi, Hannaneh Hajishirzi, Ali Farhadi, and Jesse Dodge. 2025. OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens. In Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), pages 178–188, Vienna, Austria. Association for Computational Linguistics.