Matthew E. Peters

71 papers A* 5Journal 37Unranked 29

Year	Rank	Type	Title / Venue / Authors
2024	—	`conf`	Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. ACL (1) Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi 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
2024	J	`jnl`	Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research. CoRR Luca Soldaini, Rodney Kinney, Akshita Bhagia, Dustin Schwenk, David Atkinson, Russell Authur, Ben Bogin, Khyathi Raghavi 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
2024	—	`conf`	OLMo: Accelerating the Science of Language Models. ACL (1) Dirk Groeneveld, Iz Beltagy, Evan 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
2024	J	`jnl`	OLMo: Accelerating the Science of Language Models. CoRR 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
2024	—	`conf`	TESS: Text-to-Text Self-Conditioned Simplex Diffusion. EACL (1) Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
2023	J	`jnl`	ACE: A fast, skillful learned global atmospheric model for climate prediction. CoRR 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
2023	—	`conf`	AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. EACL (Findings) Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
2023	J	`jnl`	AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. CoRR Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge
2023	J	`jnl`	Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2. CoRR Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew E. Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
2023	J	`jnl`	Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation. CoRR 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
2023	—	`conf`	FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. ACL (1) Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi
2023	—	`conf`	HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation. ACL (1) Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
2023	—	`conf`	Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. ACL (1) Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
2023	J	`jnl`	Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. CoRR Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan
2023	J	`jnl`	TESS: Text-to-Text Self-Conditioned Simplex Diffusion. CoRR Rabeeh Karimi Mahabadi, Jaesung Tae, Hamish Ivison, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan
2022	A*	`conf`	ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. EMNLP Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi
2022	J	`jnl`	Attentional Mixtures of Soft Prompt Tuning for Parameter-efficient Multi-task Knowledge Sharing. CoRR Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi
2022	A*	`conf`	Does Self-Rationalization Improve Robustness to Spurious Correlations? EMNLP Alexis Ross, Matthew E. Peters, Ana Marasovic
2022	J	`jnl`	Does Self-Rationalization Improve Robustness to Spurious Correlations? CoRR Alexis Ross, Matthew E. Peters, Ana Marasovic
2022	—	`conf`	Efficient Hierarchical Domain Adaptation for Pretrained Language Models. NAACL-HLT Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
2022	—	`conf`	Extracting Latent Steering Vectors from Pretrained Language Models. ACL (Findings) Nishant Subramani, Nivedita Suresh, Matthew E. Peters
2022	J	`jnl`	Extracting Latent Steering Vectors from Pretrained Language Models. CoRR Nishant Subramani, Nivedita Suresh, Matthew E. Peters
2022	—	`conf`	Few-Shot Self-Rationalization with Natural Language Prompts. NAACL-HLT (Findings) Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
2022	J	`jnl`	HINT: Hypernetwork Instruction Tuning for Efficient Zero-Shot Generalisation. CoRR Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters
2022	—	`conf`	Hyperdecoders: Instance-specific decoders for multi-task NLP. EMNLP (Findings) Hamish Ivison, Matthew E. Peters
2022	J	`jnl`	Hyperdecoders: Instance-specific decoders for multi-task NLP. CoRR Hamish Ivison, Matthew E. Peters
2022	—	`conf`	Investigating the effect of ventricle size on brain deformation using computational models. Biomedical Applications in Molecular, Structural, and Functional Imaging Ahmed Alshareef, Aaron Carass, Andrew K. Knutsen, Kshitiz Upadhyay, Matthew E. Peters, K. T. Ramesh, Jerry L. Prince
2022	A*	`conf`	Staged Training for Transformer Language Models. ICML Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
2022	J	`jnl`	Staged Training for Transformer Language Models. CoRR Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy
2022	—	`conf`	Tailor: Generating and Perturbing Text with Semantic Controls. ACL (1) Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2021	—	`conf`	CDLM: Cross-Document Language Modeling. EMNLP (Findings) Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan
2021	—	`conf`	Competency Problems: On Finding and Removing Artifacts in Language Data. EMNLP (1) Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021	J	`jnl`	Competency Problems: On Finding and Removing Artifacts in Language Data. CoRR Matt Gardner, William Merrill, Jesse Dodge, Matthew E. Peters, Alexis Ross, Sameer Singh, Noah A. Smith
2021	J	`jnl`	Cross-Document Language Modeling. CoRR Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan
2021	J	`jnl`	Efficient Hierarchical Domain Adaptation for Pretrained Language Models. CoRR Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge
2021	—	`conf`	Explaining NLP Models via Minimal Contrastive Editing (MiCE). ACL/IJCNLP (Findings) Alexis Ross, Ana Marasovic, Matthew E. Peters
2021	J	`jnl`	Few-Shot Self-Rationalization with Natural Language Prompts. CoRR Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters
2021	—	`conf`	PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. ACL/IJCNLP (1) Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021	J	`jnl`	PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World. CoRR Rowan Zellers, Ari Holtzman, Matthew E. Peters, Roozbeh Mottaghi, Aniruddha Kembhavi, Ali Farhadi, Yejin Choi
2021	J	`jnl`	Tailor: Generating and Perturbing Text with Semantic Controls. CoRR Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner
2020	A*	`conf`	Adversarial Filters of Dataset Biases. ICML Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020	J	`jnl`	Adversarial Filters of Dataset Biases. CoRR Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi
2020	J	`jnl`	Explaining NLP Models via Minimal Contrastive Editing (MiCE). CoRR Alexis Ross, Ana Marasovic, Matthew E. Peters
2020	—	`conf`	Learning from Task Descriptions. EMNLP (1) Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
2020	J	`jnl`	Learning from Task Descriptions. CoRR Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters
2020	J	`jnl`	Longformer: The Long-Document Transformer. CoRR Iz Beltagy, Matthew E. Peters, Arman Cohan
2019	—	`conf`	Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling. ACL (1) Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019	J	`jnl`	Barack's Wife Hillary: Using Knowledge-Graphs for Fact-Aware Language Modeling. CoRR Robert L. Logan IV, Nelson F. Liu, Matthew E. Peters, Matt Gardner, Sameer Singh
2019	—	`conf`	Knowledge Enhanced Contextual Word Representations. EMNLP/IJCNLP (1) Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
2019	J	`jnl`	Knowledge Enhanced Contextual Word Representations. CoRR Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith
2019	—	`conf`	Linguistic Knowledge and Transferability of Contextual Representations. NAACL-HLT (1) Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	J	`jnl`	Linguistic Knowledge and Transferability of Contextual Representations. CoRR Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith
2019	J	`jnl`	Shallow Syntax in Deep Water. CoRR Swabha Swayamdipta, Matthew E. Peters, Brendan Roof, Chris Dyer, Noah A. Smith
2019	—	`conf`	To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. RepL4NLP@ACL Matthew E. Peters, Sebastian Ruder, Noah A. Smith
2019	J	`jnl`	To Tune or Not to Tune? Adapting Pretrained Representations to Diverse Tasks. CoRR Matthew E. Peters, Sebastian Ruder, Noah A. Smith
2019	—	`conf`	Transfer Learning in Natural Language Processing. NAACL-HLT (Tutorial Abstracts) Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf
2018	J	`jnl`	AllenNLP: A Deep Semantic Natural Language Processing Platform. CoRR Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew E. Peters, Michael Schmitz, Luke Zettlemoyer
2018	—	`conf`	Construction of the Literature Graph in Semantic Scholar. NAACL-HLT (3) 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
2018	J	`jnl`	Construction of the Literature Graph in Semantic Scholar. CoRR 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
2018	—	`conf`	Deep Contextualized Word Representations. NAACL-HLT Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
2018	J	`jnl`	Deep contextualized word representations. CoRR Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer
2018	A*	`conf`	Dissecting Contextual Word Embeddings: Architecture and Representation. EMNLP Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih
2018	J	`jnl`	Dissecting Contextual Word Embeddings: Architecture and Representation. CoRR Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih
2018	—	`conf`	Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples. ACL (1) Vidur Joshi, Matthew E. Peters, Mark Hopkins
2018	J	`jnl`	Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples. CoRR Vidur Joshi, Matthew E. Peters, Mark Hopkins
2017	—	`conf`	Semi-supervised sequence tagging with bidirectional language models. ACL (1) Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
2017	J	`jnl`	Semi-supervised sequence tagging with bidirectional language models. CoRR Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power
2017	—	`conf`	The AI2 system at SemEval-2017 Task 10 (ScienceIE): semi-supervised end-to-end entity and relation extraction. SemEval@ACL Waleed Ammar, Matthew E. Peters, Chandra Bhagavatula, Russell Power
2013	—	`conf`	Content extraction using diverse feature sets. WWW (Companion Volume) Matthew E. Peters, Dan Lecocq
2007	J	`jnl`	Along-Track Focusing of Airborne Radar Sounding Data From West Antarctica for Improving Basal Reflection Analysis and Layer Detection. IEEE Trans. Geosci. Remote. Sens. Matthew E. Peters, Donald D. Blankenship, Sasha P. Carter, Scott D. Kempf, Duncan A. Young, John W. Holt
2007	J	`jnl`	The Distribution and Classification of Bottom Crevasses From Radar Sounding of a Large Tabular Iceberg. IEEE Geosci. Remote. Sens. Lett. Matthew E. Peters, Donald D. Blankenship, Diana E. Smith, John W. Holt, Scott D. Kempf