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2020 – today
- 2024
[j4]Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. J. Mach. Learn. Res. 25: 70:1-70:53 (2024)- 2023
- [j3]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. J. Mach. Learn. Res. 24: 240:1-240:113 (2023) - [c27]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. ACL (Findings) 2023: 4146-4159 - [c26]Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean:
Efficiently Scaling Transformer Inference. MLSys 2023 - [i22]Rohan Anil, Andrew M. Dai, Orhan Firat, Melvin Johnson, Dmitry Lepikhin, Alexandre Passos, Siamak Shakeri, Emanuel Taropa, Paige Bailey, Zhifeng Chen, Eric Chu, Jonathan H. Clark, Laurent El Shafey, Yanping Huang, Kathy Meier-Hellstern, Gaurav Mishra, Erica Moreira, Mark Omernick, Kevin Robinson, Sebastian Ruder, Yi Tay, Kefan Xiao, Yuanzhong Xu, Yujing Zhang, Gustavo Hernández Ábrego, Junwhan Ahn, Jacob Austin, Paul Barham, Jan A. Botha, James Bradbury, Siddhartha Brahma, Kevin Brooks, Michele Catasta, Yong Cheng, Colin Cherry, Christopher A. Choquette-Choo, Aakanksha Chowdhery, Clément Crepy, Shachi Dave, Mostafa Dehghani, Sunipa Dev, Jacob Devlin, Mark Díaz, Nan Du, Ethan Dyer, Vladimir Feinberg, Fangxiaoyu Feng, Vlad Fienber, Markus Freitag, Xavier Garcia, Sebastian Gehrmann, Lucas Gonzalez, et al.:
PaLM 2 Technical Report. CoRR abs/2305.10403 (2023) - 2022
- [i21]Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, Parker Schuh, Kensen Shi, Sasha Tsvyashchenko, Joshua Maynez, Abhishek Rao, Parker Barnes, Yi Tay, Noam Shazeer, Vinodkumar Prabhakaran, Emily Reif, Nan Du, Ben Hutchinson, Reiner Pope, James Bradbury, Jacob Austin, Michael Isard, Guy Gur-Ari, Pengcheng Yin, Toju Duke, Anselm Levskaya, Sanjay Ghemawat, Sunipa Dev, Henryk Michalewski, Xavier Garcia, Vedant Misra, Kevin Robinson, Liam Fedus, Denny Zhou, Daphne Ippolito, David Luan, Hyeontaek Lim, Barret Zoph, Alexander Spiridonov, Ryan Sepassi, David Dohan, Shivani Agrawal, Mark Omernick, Andrew M. Dai, Thanumalayan Sankaranarayana Pillai, Marie Pellat, Aitor Lewkowycz, Erica Moreira, Rewon Child, Oleksandr Polozov, Katherine Lee, Zongwei Zhou, Xuezhi Wang, Brennan Saeta, Mark Diaz, Orhan Firat, Michele Catasta, Jason Wei, Kathy Meier-Hellstern, Douglas Eck, Jeff Dean, Slav Petrov, Noah Fiedel:
PaLM: Scaling Language Modeling with Pathways. CoRR abs/2204.02311 (2022) - [i20]Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Eric Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Y. Zhao, Yanping Huang, Andrew M. Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, Jason Wei:
Scaling Instruction-Finetuned Language Models. CoRR abs/2210.11416 (2022) - [i19]Reiner Pope, Sholto Douglas, Aakanksha Chowdhery, Jacob Devlin, James Bradbury, Anselm Levskaya, Jonathan Heek, Kefan Xiao, Shivani Agrawal, Jeff Dean:
Efficiently Scaling Transformer Inference. CoRR abs/2211.05102 (2022) - [i18]Zifeng Wang, Zizhao Zhang, Jacob Devlin, Chen-Yu Lee, Guolong Su, Hao Zhang, Jennifer G. Dy, Vincent Perot, Tomas Pfister:
QueryForm: A Simple Zero-shot Form Entity Query Framework. CoRR abs/2211.07730 (2022) - 2021
- [c25]Giulio Zhou, Jacob Devlin:
Multi-Vector Attention Models for Deep Re-ranking. EMNLP (1) 2021: 5452-5456
2010 – 2019
- 2019
- [j2]Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov:
Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics 7: 452-466 (2019) - [c24]Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee:
Zero-Shot Entity Linking by Reading Entity Descriptions. ACL (1) 2019: 3449-3460 - [c23]Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins:
Synthetic QA Corpora Generation with Roundtrip Consistency. ACL (1) 2019: 6168-6173 - [c22]Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-HLT (1) 2019: 4171-4186 - [i17]Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin:
Language Model Pre-training for Hierarchical Document Representations. CoRR abs/1901.09128 (2019) - [i16]Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, Michael Collins:
Synthetic QA Corpora Generation with Roundtrip Consistency. CoRR abs/1906.05416 (2019) - [i15]Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee:
Zero-Shot Entity Linking by Reading Entity Descriptions. CoRR abs/1906.07348 (2019) - 2018
- [c21]Rudy Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli:
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. ICLR (Poster) 2018 - [c20]Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li:
Universal Neural Machine Translation for Extremely Low Resource Languages. NAACL-HLT 2018: 344-354 - [i14]Jiatao Gu, Hany Hassan, Jacob Devlin, Victor O. K. Li:
Universal Neural Machine Translation for Extremely Low Resource Languages. CoRR abs/1802.05368 (2018) - [i13]Rudy Bunel, Matthew J. Hausknecht, Jacob Devlin, Rishabh Singh, Pushmeet Kohli:
Leveraging Grammar and Reinforcement Learning for Neural Program Synthesis. CoRR abs/1805.04276 (2018) - [i12]Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova:
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR abs/1810.04805 (2018) - 2017
- [c19]Jacob Devlin:
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU. EMNLP 2017: 2820-2825 - [c18]Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli:
RobustFill: Neural Program Learning under Noisy I/O. ICML 2017: 990-998 - [c17]Jacob Devlin, Rudy Bunel, Rishabh Singh, Matthew J. Hausknecht, Pushmeet Kohli:
Neural Program Meta-Induction. NIPS 2017: 2080-2088 - [i11]Jacob Devlin, Jonathan Uesato, Surya Bhupatiraju, Rishabh Singh, Abdel-rahman Mohamed, Pushmeet Kohli:
RobustFill: Neural Program Learning under Noisy I/O. CoRR abs/1703.07469 (2017) - [i10]Jacob Devlin:
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU. CoRR abs/1705.01991 (2017) - [i9]Jacob Devlin, Rudy Bunel, Rishabh Singh, Matthew J. Hausknecht, Pushmeet Kohli:
Neural Program Meta-Induction. CoRR abs/1710.04157 (2017) - [i8]Jacob Devlin, Jonathan Uesato, Rishabh Singh, Pushmeet Kohli:
Semantic Code Repair using Neuro-Symbolic Transformation Networks. CoRR abs/1710.11054 (2017) - 2016
- [c16]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. ACL (1) 2016 - [c15]Ting-Hao (Kenneth) Huang
, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. HLT-NAACL 2016: 1233-1239 - [i7]Nasrin Mostafazadeh, Ishan Misra, Jacob Devlin, Larry Zitnick, Margaret Mitchell, Xiaodong He, Lucy Vanderwende:
Generating Natural Questions About an Image. CoRR abs/1603.06059 (2016) - [i6]Ting-Hao (Kenneth) Huang, Francis Ferraro, Nasrin Mostafazadeh, Ishan Misra, Aishwarya Agrawal, Jacob Devlin, Ross B. Girshick, Xiaodong He, Pushmeet Kohli, Dhruv Batra, C. Lawrence Zitnick, Devi Parikh, Lucy Vanderwende, Michel Galley, Margaret Mitchell:
Visual Storytelling. CoRR abs/1604.03968 (2016) - 2015
- [c14]Hendra Setiawan, Zhongqiang Huang, Jacob Devlin, Thomas Lamar, Rabih Zbib, Richard M. Schwartz, John Makhoul:
Statistical Machine Translation Features with Multitask Tensor Networks. ACL (1) 2015: 31-41 - [c13]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. ACL (2) 2015: 100-105 - [c12]Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell:
A Survey of Current Datasets for Vision and Language Research. EMNLP 2015: 207-213 - [c11]Jacob Devlin, Chris Quirk, Arul Menezes:
Pre-Computable Multi-Layer Neural Network Language Models. EMNLP 2015: 256-260 - [i5]Jacob Devlin, Hao Cheng, Hao Fang, Saurabh Gupta, Li Deng, Xiaodong He, Geoffrey Zweig, Margaret Mitchell:
Language Models for Image Captioning: The Quirks and What Works. CoRR abs/1505.01809 (2015) - [i4]Jacob Devlin, Saurabh Gupta, Ross B. Girshick, Margaret Mitchell, C. Lawrence Zitnick:
Exploring Nearest Neighbor Approaches for Image Captioning. CoRR abs/1505.04467 (2015) - [i3]Hendra Setiawan, Zhongqiang Huang, Jacob Devlin, Thomas Lamar, Rabih Zbib, Richard M. Schwartz, John Makhoul:
Statistical Machine Translation Features with Multitask Tensor Networks. CoRR abs/1506.00698 (2015) - [i2]Francis Ferraro, Nasrin Mostafazadeh, Ting-Hao (Kenneth) Huang, Lucy Vanderwende, Jacob Devlin, Michel Galley, Margaret Mitchell:
On Available Corpora for Empirical Methods in Vision & Language. CoRR abs/1506.06833 (2015) - [i1]Junyoung Chung, Jacob Devlin, Hany Hassan Awadalla:
Detecting Interrogative Utterances with Recurrent Neural Networks. CoRR abs/1511.01042 (2015) - 2014
- [c10]Jacob Devlin, Rabih Zbib, Zhongqiang Huang, Thomas Lamar, Richard M. Schwartz, John Makhoul:
Fast and Robust Neural Network Joint Models for Statistical Machine Translation. ACL (1) 2014: 1370-1380 - 2013
- [j1]Rohit Prasad, Prem Natarajan, David Stallard, Shirin Saleem, Shankar Ananthakrishnan, Stavros Tsakalidis, Chia-Lin Kao, Fred Choi, Ralf Meermeier, Mark Rawls, Jacob Devlin, Kriste Krstovski, Aaron Challenner:
BBN TransTalk: Robust multilingual two-way speech-to-speech translation for mobile platforms. Comput. Speech Lang. 27(2): 475-491 (2013) - [c9]Zhongqiang Huang, Jacob Devlin, Rabih Zbib:
Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation. EMNLP 2013: 556-566 - [c8]Zhongqiang Huang, Jacob Devlin, Spyros Matsoukas:
BBN's Systems for the Chinese-English Sub-task of the NTCIR-10 PatentMT Evaluation. NTCIR 2013 - 2012
- [c7]David Stallard, Jacob Devlin, Michael Kayser, Yoong Keok Lee, Regina Barzilay:
Unsupervised Morphology Rivals Supervised Morphology for Arabic MT. ACL (2) 2012: 322-327 - [c6]Jinying Chen, Jacob Devlin, Huaigu Cao, Rohit Prasad, Premkumar Natarajan:
Automatic Tune Set Generation for Machine Translation with Limited Indomain Data. EAMT 2012: 161-168 - [c5]Jacob Devlin, Matin Kamali, Krishna Subramanian, Rohit Prasad, Prem Natarajan:
Statistical Machine Translation as a Language Model for Handwriting Recognition. ICFHR 2012: 291-296 - [c4]Huaigu Cao, Jinying Chen, Jacob Devlin, Rohit Prasad, Prem Natarajan:
Document recognition and translation system for unconstrained Arabic documents. ICPR 2012: 318-321 - [c3]Rabih Zbib, Erika Malchiodi, Jacob Devlin, David Stallard, Spyros Matsoukas, Richard M. Schwartz, John Makhoul, Omar Zaidan, Chris Callison-Burch:
Machine Translation of Arabic Dialects. HLT-NAACL 2012: 49-59 - [c2]Jacob Devlin, Spyros Matsoukas:
Trait-Based Hypothesis Selection For Machine Translation. HLT-NAACL 2012: 528-532 - 2011
- [c1]Jacob Devlin, Antti-Veikko I. Rosti, Sankaranarayanan Ananthakrishnan, Spyros Matsoukas:
System Combination Using Discriminative Cross-Adaptation. IJCNLP 2011: 667-675
Coauthor Index
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last updated on 2024-09-18 00:16 CEST by the dblp team
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