Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens

30 January 2024

Jiacheng Liu

Sewon Min

Luke Zettlemoyer

Yejin Choi

Hannaneh Hajishirzi

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Papers citing "Infini-gram: Scaling Unbounded n-gram Language Models to a Trillion Tokens"

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Safety Pretraining: Toward the Next Generation of Safe AI Pratyush Maini Sachin Goyal Dylan Sam Alex Robey Yash Savani Yiding Jiang Andy Zou Zacharcy C. Lipton J. Zico Kolter 47 0 0 23 Apr 2025
Bigram Subnetworks: Mapping to Next Tokens in Transformer Language Models Tyler A. Chang Benjamin Bergen 38 0 0 21 Apr 2025
ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data Tong Chen Faeze Brahman Jiacheng Liu Niloofar Mireshghallah Weijia Shi Pang Wei Koh Luke Zettlemoyer Hannaneh Hajishirzi 26 0 0 20 Apr 2025
Beyond Memorization: Mapping the Originality-Quality Frontier of Language Models Vishakh Padmakumar Chen Yueh-Han Jane Pan Valerie Chen He He 35 0 0 13 Apr 2025
On Language Models' Sensitivity to Suspicious Coincidences Sriram Padmanabhan Kanishka Misra Kyle Mahowald Eunsol Choi ReLM LRM 30 0 0 13 Apr 2025
OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens Jiacheng Liu Taylor Blanton Yanai Elazar Sewon Min YenSung Chen ... Sophie Lebrecht Yejin Choi Hannaneh Hajishirzi Ali Farhadi Jesse Dodge 19 1 0 09 Apr 2025
Not All Data Are Unlearned Equally Aravind Krishnan Siva Reddy Marius Mosbach MU 39 0 0 07 Apr 2025
SuperBPE: Space Travel for Language Models Alisa Liu J. Hayase Valentin Hofmann Sewoong Oh Noah A. Smith Yejin Choi 38 1 0 17 Mar 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs Bowen Tan Zheng Xu Eric P. Xing Zhiting Hu Shanshan Wu SyDa 80 0 0 16 Mar 2025
Data Caricatures: On the Representation of African American Language in Pretraining Corpora Nicholas Deas Blake Vente Amith Ananthram Jessica A. Grieser D. Patton Shana Kleiner James Shepard Kathleen McKeown 31 0 0 13 Mar 2025
Transferring Extreme Subword Style Using Ngram Model-Based Logit Scaling Craig Messner Tom Lippincott 46 0 0 11 Mar 2025
Understanding the Limits of Lifelong Knowledge Editing in LLMs Lukas Thede Karsten Roth Matthias Bethge Zeynep Akata Tom Hartvigsen KELM CLL 62 2 0 07 Mar 2025
Shades of Zero: Distinguishing Impossibility from Inconceivability Jennifer Hu Felix Sosa T. Ullman 26 0 0 27 Feb 2025
Theoretical Benefit and Limitation of Diffusion Language Model Guhao Feng Yihan Geng Jian-Yu Guan Wei Yu Wu Liwei Wang Di He DiffM 41 0 0 13 Feb 2025
A General Framework for Inference-time Scaling and Steering of Diffusion Models R. Singhal Zachary Horvitz Ryan Teehan Mengye Ren Zhou Yu Kathleen McKeown Rajesh Ranganath DiffM 56 15 0 17 Jan 2025
A Statistical and Multi-Perspective Revisiting of the Membership Inference Attack in Large Language Models Bowen Chen Namgi Han Yusuke Miyao 89 0 0 18 Dec 2024
QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs Mohammad Aflah Khan Neemesh Yadav Sarah Masud Md. Shad Akhtar 64 0 0 16 Dec 2024
N-Gram Induction Heads for In-Context RL: Improving Stability and Reducing Data Needs Ilya Zisman Alexander Nikulin Andrei Polubarov Nikita Lyubaykin Vladislav Kurenkov Andrei Polubarov Igor Kiselev Vladislav Kurenkov OffRL 34 1 0 04 Nov 2024
Interpretable Language Modeling via Induction-head Ngram Models Eunji Kim Sriya Mantena Weiwei Yang Chandan Singh Sungroh Yoon Jianfeng Gao 36 0 0 31 Oct 2024
Jet Expansions of Residual Computation Yihong Chen Xiangxiang Xu Yao Lu Pontus Stenetorp Luca Franceschi 11 2 0 08 Oct 2024
Probing Language Models on Their Knowledge Source Zineddine Tighidet Andrea Mogini Jiali Mei Benjamin Piwowarski Patrick Gallinari KELM 22 1 0 08 Oct 2024
DAPE V2: Process Attention Score as Feature Map for Length Extrapolation Chuanyang Zheng Yihang Gao Han Shi Jing Xiong Jiankai Sun ... Xiaozhe Ren Michael Ng Xin Jiang Zhenguo Li Yu Li 16 1 0 07 Oct 2024
AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text Ximing Lu Melanie Sclar Skyler Hallinan Niloofar Mireshghallah Jiacheng Liu ... Allyson Ettinger Liwei Jiang Khyathi Raghavi Chandu Nouha Dziri Yejin Choi DeLMO 32 11 0 05 Oct 2024
Can Transformers Learn $n$ -gram Language Models? Anej Svete Nadav Borenstein M. Zhou Isabelle Augenstein Ryan Cotterell 21 6 0 03 Oct 2024
Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation Shan Chen Mingye Gao Kuleen Sasse Thomas Hartvigsen Brian Anthony Lizhou Fan Hugo J. W. L. Aerts Jack Gallifant Danielle S. Bitterman LM&MA 13 0 0 30 Sep 2024
Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval Kyra Wilson Aylin Caliskan 20 11 0 29 Jul 2024
Demystifying Verbatim Memorization in Large Language Models Jing Huang Diyi Yang Christopher Potts ELM PILM MU 27 1 0 25 Jul 2024
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images Josh Myers-Dean Jarek Reynolds Brian Price Yifei Fan Danna Gurari 24 2 0 12 Jul 2024
From Loops to Oops: Fallback Behaviors of Language Models Under Uncertainty Maor Ivgi Ori Yoran Jonathan Berant Mor Geva HILM 36 8 0 08 Jul 2024
Understanding Transformers via N-gram Statistics Timothy Nguyen 12 9 0 30 Jun 2024
Can LLM Graph Reasoning Generalize beyond Pattern Memorization? Yizhuo Zhang Heng Wang Shangbin Feng Zhaoxuan Tan Xiaochuang Han Tianxing He Yulia Tsvetkov LRM 31 16 0 23 Jun 2024
Evaluating $n$ -Gram Novelty of Language Models Using Rusty-DAWG William Merrill Noah A. Smith Yanai Elazar ELM TDI 27 9 0 18 Jun 2024
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks Jack Gallifant Shan Chen Pedro Moreira Nikolaj Munch Mingye Gao Jackson Pond Leo Anthony Celi Hugo J. W. L. Aerts Thomas Hartvigsen Danielle S. Bitterman 23 2 0 17 Jun 2024
Superposed Decoding: Multiple Generations from a Single Autoregressive Inference Pass Ethan Shen Alan Fan Sarah M Pratt Jae Sung Park Matthew Wallingford Sham Kakade Ari Holtzman Ranjay Krishna Ali Farhadi Aditya Kusupati 25 2 0 28 May 2024
Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias Shan Chen Jack Gallifant Mingye Gao Pedro Moreira Nikolaj Munch ... Hugo J. W. L. Aerts Brian Anthony Leo Anthony Celi William G. La Cava Danielle S. Bitterman 24 8 0 09 May 2024
TAXI: Evaluating Categorical Knowledge Editing for Language Models Derek Powell Walter Gerych Thomas Hartvigsen KELM 21 7 0 23 Apr 2024
The Role of $n$ -gram Smoothing in the Age of Neural Networks Luca Malagutti Andrius Buinovskij Anej Svete Clara Meister Afra Amini Ryan Cotterell 18 6 0 25 Mar 2024
OLMo: Accelerating the Science of Language Models Dirk Groeneveld Iz Beltagy Pete Walsh Akshita Bhagia Rodney Michael Kinney ... Jesse Dodge Kyle Lo Luca Soldaini Noah A. Smith Hanna Hajishirzi OSLM 124 349 0 01 Feb 2024
Data Portraits: Recording Foundation Model Training Data Marc Marone Benjamin Van Durme 129 30 0 06 Mar 2023
Training Language Models with Memory Augmentation Zexuan Zhong Tao Lei Danqi Chen RALM 221 126 0 25 May 2022
Deduplicating Training Data Makes Language Models Better Katherine Lee Daphne Ippolito A. Nystrom Chiyuan Zhang Douglas Eck Chris Callison-Burch Nicholas Carlini SyDa 234 447 0 14 Jul 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling Leo Gao Stella Biderman Sid Black Laurence Golding Travis Hoppe ... Horace He Anish Thite Noa Nabeshima Shawn Presser Connor Leahy AIMat 236 1,508 0 31 Dec 2020