Matthew E. Peters

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 64

Top Topics

Retrieval Model

Natural Language

Linguistic Knowledge

Top Venues

Publications

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
OLMo: Accelerating the Science of Language Models. CoRR (2024)
Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. EACL (1) (2024)
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
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR (2024)
Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. EACL (Findings) (2023)
Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR (2023)
Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation. ACL (1) (2023)
Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) (2023)
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
Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR (2023)
Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
TESS: Text-to-Text Self-Conditioned Simplex Diffusion. CoRR (2023)
Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. CoRR (2023)
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
ACE: A fast, skillful learned global atmospheric model for climate prediction. CoRR (2023)
Nishant Subramani, Nivedita Suresh, Matthew E. Peters
Extracting Latent Steering Vectors from Pretrained Language Models. ACL (Findings) (2022)
Alexis Ross, Matthew E. Peters, Ana Marasovic
Does Self-Rationalization Improve Robustness to Spurious Correlations? EMNLP (2022)
Alexis Ross, Matthew E. Peters, Ana Marasovic
Does Self-Rationalization Improve Robustness to Spurious Correlations? CoRR (2022)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. ICML (2022)
Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi
ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. EMNLP (2022)
Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi
Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing. CoRR (2022)
Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
Few-Shot Self-Rationalization with Natural Language Prompts. NAACL-HLT (Findings) (2022)
Ahmed Alshareef, Aaron Carass, Andrew K. Knutsen, Kshitiz Upadhyay, Matthew E. Peters, K. T. Ramesh, Jerry L. Prince
Investigating the effect of ventricle size on brain deformation using computational models. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2022)
Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
Efficient Hierarchical Domain Adaptation for Pretrained Language Models. NAACL-HLT (2022)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) (2022)
Nishant Subramani, Nivedita Suresh, Matthew E. Peters
Extracting Latent Steering Vectors from Pretrained Language Models. CoRR (2022)
Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
Staged Training for Transformer Language Models. CoRR (2022)
Hamish Ivison, Matthew E. Peters
Hyperdecoders: Instance-specific decoders for multi-task NLP. CoRR (2022)
Hamish Ivison, Matthew E. Peters
Hyperdecoders: Instance-specific decoders for multi-task NLP. EMNLP (Findings) (2022)
Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation. CoRR (2022)
Alexis Ross, Ana Marasovic, Matthew E. Peters
Explaining NLP Models via Minimal Contrastive Editing (MiCE). ACL/IJCNLP (Findings) (2021)
Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
Tailor: Generating and Perturbing Text with Semantic Controls. CoRR (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) (2021)
Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
Few-Shot Self-Rationalization with Natural Language Prompts. CoRR (2021)
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR (2021)
Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
Efficient Hierarchical Domain Adaptation for Pretrained Language Models. CoRR (2021)
Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR (2021)
Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan
CDLM: Cross-Document Language Modeling. EMNLP (Findings) (2021)
Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) (2021)
Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan
Cross-Document Language Modeling. CoRR (2021)
Iz Beltagy, Matthew E. Peters, Arman Cohan
Longformer: The Long-Document Transformer. CoRR (2020)
Alexis Ross, Ana Marasovic, Matthew E. Peters
Explaining NLP Models via Minimal Contrastive Editing (MiCE). CoRR (2020)
Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
Learning from Task Descriptions. EMNLP (1) (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. CoRR (2020)
Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
Adversarial Filters of Dataset Biases. ICML (2020)
Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
Learning from Task Descriptions. CoRR (2020)
Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
Knowledge Enhanced Contextual Word Representations. CoRR (2019)
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
Linguistic Knowledge and Transferability of Contextual Representations. CoRR (2019)
Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf
Transfer Learning in Natural Language Processing. NAACL-HLT (Tutorial Abstracts) (2019)
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) (2019)
Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith
Shallow Syntax in Deep Water. CoRR (2019)
Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
Knowledge Enhanced Contextual Word Representations. EMNLP/IJCNLP (1) (2019)
Matthew E. Peters, Sebastian Ruder, Noah A. Smith
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. CoRR (2019)
Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR (2019)
Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) (2019)
Matthew E. Peters, Sebastian Ruder, Noah A. Smith
To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. RepL4NLP@ACL (2019)
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
Deep Contextualized Word Representations. NAACL-HLT (2018)
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
Construction of the Literature Graph in Semantic Scholar. NAACL-HLT (3) (2018)
Vidur Joshi, Matthew E. Peters, Mark Hopkins
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples. ACL (1) (2018)
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer
AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR (2018)
Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih
Dissecting Contextual Word Embeddings: Architecture and Representation. CoRR (2018)
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
Deep contextualized word representations. CoRR (2018)
Vidur Joshi, Matthew E. Peters, Mark Hopkins
Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples. CoRR (2018)
Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih
Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP (2018)
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
Construction of the Literature Graph in Semantic Scholar. CoRR (2018)
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
Semi-supervised sequence tagging with bidirectional language models. ACL (1) (2017)
Waleed Ammar, Matthew E. Peters, Chandra Bhagavatula, Russell Power
The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction. SemEval@ACL (2017)
Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
Semi-supervised sequence tagging with bidirectional language models. CoRR (2017)
Matthew E. Peters, Dan Lecocq
Content extraction using diverse feature sets. WWW (Companion Volume) (2013)
Matthew E. Peters, Donald D. Blankenship, Sasha P. Carter, Scott D. Kempf, Duncan A. Young, John W. Holt
Along-Track Focusing of Airborne Radar Sounding Data From West Antarctica for Improving Basal Reflection Analysis and Layer Detection. IEEE Trans. Geosci. Remote. Sens. 45 (9) (2007)
Matthew E. Peters, Donald D. Blankenship, Diana E. Smith, John W. Holt, Scott D. Kempf
The Distribution and Classification of Bottom Crevasses From Radar Sounding of a Large Tabular Iceberg. IEEE Geosci. Remote. Sens. Lett. 4 (1) (2007)