Matthew E. Peters

According to our database, Matthew E. Peters authored at least 46 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

OLMo: Accelerating the Science of Language Models.

Dirk Groeneveld, Iz Beltagy, Pete Walsh, Akshita Bhagia, Rodney Kinney, Oyvind Tafjord, Ananya Harsh Jha, Hamish Ivison, Ian Magnusson, Yizhong Wang, Shane Arora, David Atkinson, Russell Authur, Khyathi Raghavi Chandu, Arman Cohan, Jennifer Dumas, Yanai Elazar, Yuling Gu, Jack Hessel, Tushar Khot, William Merrill, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Valentina Pyatkin, Abhilasha Ravichander, Dustin Schwenk, Saurabh Shah, Will Smith, Emma Strubell, Nishant Subramani, Mitchell Wortsman, Pradeep Dasigi, Nathan Lambert, Kyle Richardson, Luke Zettlemoyer, Jesse Dodge, Kyle Lo, Luca Soldaini, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2024

Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Chandu, Jennifer Dumas, Yanai Elazar, Valentin Hofmann, Ananya Harsh Jha, Sachin Kumar, Li Lucy, Xinxi Lyu, Nathan Lambert, Ian Magnusson, Jacob Morrison, Niklas Muennighoff, Aakanksha Naik, Crystal Nam, Matthew E. Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A. Smith, Hannaneh Hajishirzi, Iz Beltagy, Dirk Groeneveld, Jesse Dodge, Kyle Lo

CoRR, 2024

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi

CoRR, 2023

ACE: A fast, skillful learned global atmospheric model for climate prediction.

Oliver Watt-Meyer, Gideon Dresdner, Jeremy McGibbon, Spencer K. Clark, Brian Henn, James Duncan, Noah D. Brenowitz, Karthik Kashinath, Michael S. Pritchard, Boris Bonev, Matthew E. Peters, Christopher S. Bretherton

CoRR, 2023

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.

Hao Peng, Qingqing Cao, Jesse Dodge, Matthew E. Peters, Jared Fernandez, Tom Sherborne, Kyle Lo, Sam Skjonsberg, Emma Strubell, Darrell Plessas, Iz Beltagy, Evan Pete Walsh, Noah A. Smith, Hannaneh Hajishirzi

CoRR, 2023

TESS: Text-to-Text Self-Conditioned Simplex Diffusion.

Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan

CoRR, 2023

AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models.

Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning.

Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation.

Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering.

Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation.

Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters

CoRR, 2022

Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing.

Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi

CoRR, 2022

Few-Shot Self-Rationalization with Natural Language Prompts.

Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Efficient Hierarchical Domain Adaptation for Pretrained Language Models.

Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Investigating the effect of ventricle size on brain deformation using computational models.

Ahmed Alshareef, Aaron Carass, Andrew K. Knutsen, Kshitiz Upadhyay, Matthew E. Peters, K. T. Ramesh, Jerry L. Prince

Proceedings of the Medical Imaging 2022: Biomedical Applications in Molecular, 2022

Staged Training for Transformer Language Models.

Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy

Proceedings of the International Conference on Machine Learning, 2022

Does Self-Rationalization Improve Robustness to Spurious Correlations?

Alexis Ross, Matthew E. Peters, Ana Marasovic

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hyperdecoders: Instance-specific decoders for multi-task NLP.

Hamish Ivison, Matthew E. Peters

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts.

Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Extracting Latent Steering Vectors from Pretrained Language Models.

Nishant Subramani, Nivedita Suresh, Matthew E. Peters

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Tailor: Generating and Perturbing Text with Semantic Controls.

Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Cross-Document Language Modeling.

Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan

CoRR, 2021

CDLM: Cross-Document Language Modeling.

Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Competency Problems: On Finding and Removing Artifacts in Language Data.

Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World.

Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Explaining NLP Models via Minimal Contrastive Editing (MiCE).

Alexis Ross, Ana Marasovic, Matthew E. Peters

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Longformer: The Long-Document Transformer.

Iz Beltagy, Matthew E. Peters, Arman Cohan

CoRR, 2020

Adversarial Filters of Dataset Biases.

Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi

Proceedings of the 37th International Conference on Machine Learning, 2020

Learning from Task Descriptions.

Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Shallow Syntax in Deep Water.

Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith

CoRR, 2019

To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks.

Matthew E. Peters, Sebastian Ruder, Noah A. Smith

Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

Transfer Learning in Natural Language Processing.

Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Linguistic Knowledge and Transferability of Contextual Representations.

Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Knowledge Enhanced Contextual Word Representations.

Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling.

Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

AllenNLP: A Deep Semantic Natural Language Processing Platform.

Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer

CoRR, 2018

Deep Contextualized Word Representations.

Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Construction of the Literature Graph in Semantic Scholar.

Waleed Ammar, Dirk Groeneveld, Chandra Bhagavatula, Iz Beltagy, Miles Crawford, Doug Downey, Jason Dunkelberger, Ahmed Elgohary, Sergey Feldman, Vu Ha, Rodney Kinney, Sebastian Kohlmeier, Kyle Lo, Tyler Murray, Hsu-Han Ooi, Matthew E. Peters, Joanna Power, Sam Skjonsberg, Lucy Lu Wang, Chris Wilhelm, Zheng Yuan, Madeleine van Zuylen, Oren Etzioni

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Dissecting Contextual Word Embeddings: Architecture and Representation.

Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples.

Vidur Joshi, Matthew E. Peters, Mark Hopkins

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction.

Waleed Ammar, Matthew E. Peters, Chandra Bhagavatula, Russell Power

Proceedings of the 11th International Workshop on Semantic Evaluation, 2017

Semi-supervised sequence tagging with bidirectional language models.

Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2013

Content extraction using diverse feature sets.

Matthew E. Peters, Dan Lecocq

Proceedings of the 22nd International World Wide Web Conference, 2013

2007

Along-Track Focusing of Airborne Radar Sounding Data From West Antarctica for Improving Basal Reflection Analysis and Layer Detection.

Matthew E. Peters, Donald D. Blankenship, Sasha P. Carter, Scott D. Kempf, Duncan A. Young, John W. Holt

IEEE Trans. Geosci. Remote. Sens., 2007

The Distribution and Classification of Bottom Crevasses From Radar Sounding of a Large Tabular Iceberg.

Matthew E. Peters, Donald D. Blankenship, Diana E. Smith, John W. Holt, Scott D. Kempf

IEEE Geosci. Remote. Sens. Lett., 2007