Matthew E. Peters
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
6
Active years
2013–2024
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | OLMo: Accelerating the Science of Language Models. | 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 | ACL | 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 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 | EACL | TESS: Text-to-Text Self-Conditioned Simplex Diffusion. | Rabeeh Karimi Mahabadi, Hamish Ivison, Jaesung Tae, James Henderson, Iz Beltagy, Matthew E. Peters, Arman Cohan |
| 2023 | ACL | Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. | Avi Caciularu, Matthew E. Peters, Jacob Goldberger, Ido Dagan, Arman Cohan |
| 2023 | ACL | HINT: Hypernetwork Instruction Tuning for Efficient Zero- and Few-Shot Generalisation. | Hamish Ivison, Akshita Bhagia, Yizhong Wang, Hannaneh Hajishirzi, Matthew E. Peters |
| 2023 | ACL | FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. | Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi |
| 2023 | EACL | AdapterSoup: Weight Averaging to Improve Generalization of Pretrained Language Models. | Alexandra Chronopoulou, Matthew E. Peters, Alexander Fraser, Jesse Dodge |
| 2022 | ACL | Tailor: Generating and Perturbing Text with Semantic Controls. | Alexis Ross, Tongshuang Wu, Hao Peng, Matthew E. Peters, Matt Gardner |
| 2022 | ACL | Extracting Latent Steering Vectors from Pretrained Language Models. | Nishant Subramani, Nivedita Suresh, Matthew E. Peters |
| 2022 | EMNLP | ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts. | Akari Asai, Mohammadreza Salehi, Matthew E. Peters, Hannaneh Hajishirzi |
| 2022 | EMNLP | Hyperdecoders: Instance-specific decoders for multi-task NLP. | Hamish Ivison, Matthew E. Peters |
| 2022 | EMNLP | Does Self-Rationalization Improve Robustness to Spurious Correlations? | Alexis Ross, Matthew E. Peters, Ana Marasovic |
| 2022 | ICML | Staged Training for Transformer Language Models. | Sheng Shen, Pete Walsh, Kurt Keutzer, Jesse Dodge, Matthew E. Peters, Iz Beltagy |
| 2022 | NAACL | Efficient Hierarchical Domain Adaptation for Pretrained Language Models. | Alexandra Chronopoulou, Matthew E. Peters, Jesse Dodge |
| 2022 | NAACL | Few-Shot Self-Rationalization with Natural Language Prompts. | Ana Marasovic, Iz Beltagy, Doug Downey, Matthew E. Peters |
| 2021 | ACL | Explaining NLP Models via Minimal Contrastive Editing (MiCE). | Alexis Ross, Ana Marasovic, Matthew E. Peters |
| 2021 | ACL | 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 |
| 2021 | EMNLP | 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 |
| 2021 | EMNLP | CDLM: Cross-Document Language Modeling. | Avi Caciularu, Arman Cohan, Iz Beltagy, Matthew E. Peters, Arie Cattan, Ido Dagan |
| 2020 | EMNLP | Learning from Task Descriptions. | Orion Weller, Nicholas Lourie, Matt Gardner, Matthew E. Peters |
| 2020 | ICML | Adversarial Filters of Dataset Biases. | Ronan Le Bras, Swabha Swayamdipta, Chandra Bhagavatula, Rowan Zellers, Matthew E. Peters, Ashish Sabharwal, Yejin Choi |
| 2019 | ACL | 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 |
| 2019 | EMNLP | Knowledge Enhanced Contextual Word Representations. | Matthew E. Peters, Mark Neumann, Robert L. Logan IV, Roy Schwartz, Vidur Joshi, Sameer Singh, Noah A. Smith |
| 2019 | NAACL | Linguistic Knowledge and Transferability of Contextual Representations. | Nelson F. Liu, Matt Gardner, Yonatan Belinkov, Matthew E. Peters, Noah A. Smith |
| 2019 | NAACL | Transfer Learning in Natural Language Processing. | Sebastian Ruder, Matthew E. Peters, Swabha Swayamdipta, Thomas Wolf |
| 2018 | ACL | Extending a Parser to Distant Domains Using a Few Dozen Partially Annotated Examples. | Vidur Joshi, Matthew E. Peters, Mark Hopkins |
| 2018 | EMNLP | Dissecting Contextual Word Embeddings: Architecture and Representation. | Matthew E. Peters, Mark Neumann, Luke Zettlemoyer, Wen-tau Yih |
| 2018 | NAACL | 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 |
| 2018 | NAACL | Deep Contextualized Word Representations. | Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, Luke Zettlemoyer |
| 2017 | ACL | Semi-supervised sequence tagging with bidirectional language models. | Matthew E. Peters, Waleed Ammar, Chandra Bhagavatula, Russell Power |
| 2013 | WWW | Content extraction using diverse feature sets. | Matthew E. Peters, Dan Lecocq |