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Slav Petrov
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- affiliation: Google Research
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2020 – today
- 2024
- [j7]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
- [j6]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Lora Aroyo, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. Comput. Linguistics 49(4): 777-840 (2023) - [j5]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) - [c41]Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani:
Transcending Scaling Laws with 0.1% Extra Compute. EMNLP 2023: 1471-1486 - [i15]Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.:
Gemini: A Family of Highly Capable Multimodal Models. CoRR abs/2312.11805 (2023) - 2022
- [i14]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) - [i13]Yi Tay, Jason Wei, Hyung Won Chung, Vinh Q. Tran, David R. So, Siamak Shakeri, Xavier Garcia, Huaixiu Steven Zheng, Jinfeng Rao, Aakanksha Chowdhery, Denny Zhou, Donald Metzler, Slav Petrov, Neil Houlsby, Quoc V. Le, Mostafa Dehghani:
Transcending Scaling Laws with 0.1% Extra Compute. CoRR abs/2210.11399 (2022) - [i12]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) - [i11]Bernd Bohnet, Vinh Q. Tran, Pat Verga, Roee Aharoni, Daniel Andor, Livio Baldini Soares, Jacob Eisenstein, Kuzman Ganchev, Jonathan Herzig, Kai Hui, Tom Kwiatkowski, Ji Ma, Jianmo Ni, Tal Schuster, William W. Cohen, Michael Collins, Dipanjan Das, Donald Metzler, Slav Petrov, Kellie Webster:
Attributed Question Answering: Evaluation and Modeling for Attributed Large Language Models. CoRR abs/2212.08037 (2022) - 2021
- [i10]Hannah Rashkin, Vitaly Nikolaev, Matthew Lamm, Michael Collins, Dipanjan Das, Slav Petrov, Gaurav Singh Tomar, Iulia Turc, David Reitter:
Measuring Attribution in Natural Language Generation Models. CoRR abs/2112.12870 (2021) - 2020
- [i9]Kellie Webster, Xuezhi Wang, Ian Tenney, Alex Beutel, Emily Pitler, Ellie Pavlick, Jilin Chen, Slav Petrov:
Measuring and Reducing Gendered Correlations in Pre-trained Models. CoRR abs/2010.06032 (2020)
2010 – 2019
- 2019
- [j4]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) - 2018
- [c40]Daniel Zeman, Jan Hajic, Martin Popel, Martin Potthast, Milan Straka, Filip Ginter, Joakim Nivre, Slav Petrov:
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. CoNLL Shared Task (2) 2018: 1-21 - 2017
- [c39]Daniel Zeman, Martin Popel, Milan Straka, Jan Hajic, Joakim Nivre, Filip Ginter, Juhani Luotolahti, Sampo Pyysalo, Slav Petrov, Martin Potthast, Francis M. Tyers, Elena Badmaeva, Memduh Gokirmak, Anna Nedoluzhko, Silvie Cinková, Jan Hajic Jr., Jaroslava Hlavácová, Václava Kettnerová, Zdenka Uresová, Jenna Kanerva, Stina Ojala, Anna Missilä, Christopher D. Manning, Sebastian Schuster, Siva Reddy, Dima Taji, Nizar Habash, Herman Leung, Marie-Catherine de Marneffe, Manuela Sanguinetti, Maria Simi, Hiroshi Kanayama, Valeria de Paiva, Kira Droganova, Héctor Martínez Alonso, Çagri Çöltekin, Umut Sulubacak, Hans Uszkoreit, Vivien Macketanz, Aljoscha Burchardt, Kim Harris, Katrin Marheinecke, Georg Rehm, Tolga Kayadelen, Mohammed Attia, Ali El-Kahky, Zhuoran Yu, Emily Pitler, Saran Lertpradit, Michael Mandl, Jesse Kirchner, Hector Fernandez Alcalde, Jana Strnadová, Esha Banerjee, Ruli Manurung, Antonio Stella, Atsuko Shimada, Sookyoung Kwak, Gustavo Mendonça, Tatiana Lando, Rattima Nitisaroj, Josie Li:
CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. CoNLL Shared Task (2) 2017: 1-19 - [c38]Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata:
Universal Semantic Parsing. EMNLP 2017: 89-101 - [c37]Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov:
Natural Language Processing with Small Feed-Forward Networks. EMNLP 2017: 2879-2885 - [i8]Siva Reddy, Oscar Täckström, Slav Petrov, Mark Steedman, Mirella Lapata:
Universal Semantic Parsing. CoRR abs/1702.03196 (2017) - [i7]Chris Alberti, Daniel Andor, Ivan Bogatyy, Michael Collins, Dan Gillick, Lingpeng Kong, Terry Koo, Ji Ma, Mark Omernick, Slav Petrov, Chayut Thanapirom, Zora Tung, David Weiss:
SyntaxNet Models for the CoNLL 2017 Shared Task. CoRR abs/1703.04929 (2017) - [i6]Jan A. Botha, Emily Pitler, Ji Ma, Anton Bakalov, Alex Salcianu, David Weiss, Ryan T. McDonald, Slav Petrov:
Natural Language Processing with Small Feed-Forward Networks. CoRR abs/1708.00214 (2017) - 2016
- [c36]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. ACL (1) 2016 - [c35]Joakim Nivre, Marie-Catherine de Marneffe, Filip Ginter, Yoav Goldberg, Jan Hajic, Christopher D. Manning, Ryan T. McDonald, Slav Petrov, Sampo Pyysalo, Natalia Silveira, Reut Tsarfaty, Daniel Zeman:
Universal Dependencies v1: A Multilingual Treebank Collection. LREC 2016 - [i5]Daniel Andor, Chris Alberti, David Weiss, Aliaksei Severyn, Alessandro Presta, Kuzman Ganchev, Slav Petrov, Michael Collins:
Globally Normalized Transition-Based Neural Networks. CoRR abs/1603.06042 (2016) - 2015
- [c34]David Weiss, Chris Alberti, Michael Collins, Slav Petrov:
Structured Training for Neural Network Transition-Based Parsing. ACL (1) 2015: 323-333 - [c33]Chris Alberti, David Weiss, Greg Coppola, Slav Petrov:
Improved Transition-Based Parsing and Tagging with Neural Networks. EMNLP 2015: 1354-1359 - [c32]Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton:
Grammar as a Foreign Language. NIPS 2015: 2773-2781 - [i4]David Weiss, Chris Alberti, Michael Collins, Slav Petrov:
Structured Training for Neural Network Transition-Based Parsing. CoRR abs/1506.06158 (2015) - 2014
- [j3]Youngmin Yi, Chao-Yue Lai, Slav Petrov:
Efficient parallel CKY parsing using GPUs. J. Log. Comput. 24(2): 375-393 (2014) - [c31]Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, Slav Petrov:
Temporal Analysis of Language through Neural Language Models. LTCSS@ACL 2014: 61-65 - [c30]Jason Mann, David Zhang, Lu Yang, Dipanjan Das, Slav Petrov:
Enhanced Search with Wildcards and Morphological Inflections in the Google Books Ngram Viewer. ACL (System Demonstrations) 2014: 115-120 - [c29]Yoav Artzi, Dipanjan Das, Slav Petrov:
Learning Compact Lexicons for CCG Semantic Parsing. EMNLP 2014: 1273-1283 - [i3]Yoon Kim, Yi-I Chiu, Kentaro Hanaki, Darshan Hegde, Slav Petrov:
Temporal Analysis of Language through Neural Language Models. CoRR abs/1405.3515 (2014) - [i2]Oriol Vinyals, Lukasz Kaiser, Terry Koo, Slav Petrov, Ilya Sutskever, Geoffrey E. Hinton:
Grammar as a Foreign Language. CoRR abs/1412.7449 (2014) - 2013
- [j2]Oscar Täckström, Dipanjan Das, Slav Petrov, Ryan T. McDonald, Joakim Nivre:
Token and Type Constraints for Cross-Lingual Part-of-Speech Tagging. Trans. Assoc. Comput. Linguistics 1: 1-12 (2013) - [c28]Ryan T. McDonald, Joakim Nivre, Yvonne Quirmbach-Brundage, Yoav Goldberg, Dipanjan Das, Kuzman Ganchev, Keith B. Hall, Slav Petrov, Hao Zhang, Oscar Täckström, Claudia Bedini, Núria Bertomeu Castelló, Jungmee Lee:
Universal Dependency Annotation for Multilingual Parsing. ACL (2) 2013: 92-97 - [c27]Uri Lerner, Slav Petrov:
Source-Side Classifier Preordering for Machine Translation. EMNLP 2013: 513-523 - 2012
- [b2]Slav Petrov:
Coarse-to-Fine Natural Language Processing. Theory and Applications of Natural Language Processing, Springer 2012, ISBN 978-3-642-22742-4, pp. I-XX, 1-105 - [j1]Alfred Z. Spector, Peter Norvig, Slav Petrov:
Google's hybrid approach to research. Commun. ACM 55(7): 34-37 (2012) - [c26]Yuri Lin, Jean-Baptiste Michel, Erez Aiden Lieberman, Jon Orwant, Will Brockman, Slav Petrov:
Syntactic Annotations for the Google Books NGram Corpus. ACL (System Demonstrations) 2012: 169-174 - [c25]Kuzman Ganchev, Keith B. Hall, Ryan T. McDonald, Slav Petrov:
Using Search-Logs to Improve Query Tagging. ACL (2) 2012: 238-242 - [c24]Slav Petrov, Dipanjan Das, Ryan T. McDonald:
A Universal Part-of-Speech Tagset. LREC 2012: 2089-2096 - [c23]Alexander M. Rush, Slav Petrov:
Vine Pruning for Efficient Multi-Pass Dependency Parsing. HLT-NAACL 2012: 498-507 - 2011
- [c22]Dipanjan Das, Slav Petrov:
Unsupervised Part-of-Speech Tagging with Bilingual Graph-Based Projections. ACL 2011: 600-609 - [c21]Ryan T. McDonald, Slav Petrov, Keith B. Hall:
Multi-Source Transfer of Delexicalized Dependency Parsers. EMNLP 2011: 62-72 - [c20]Jason Katz-Brown, Slav Petrov, Ryan T. McDonald, Franz Josef Och, David Talbot, Hiroshi Ichikawa, Masakazu Seno, Hideto Kazawa:
Training a Parser for Machine Translation Reordering. EMNLP 2011: 183-192 - [c19]Youngmin Yi, Chao-Yue Lai, Slav Petrov, Kurt Keutzer:
Efficient Parallel CKY Parsing on GPUs. IWPT 2011: 175-185 - [i1]Slav Petrov, Dipanjan Das, Ryan T. McDonald:
A Universal Part-of-Speech Tagset. CoRR abs/1104.2086 (2011) - 2010
- [c18]David Burkett, Slav Petrov, John Blitzer, Dan Klein:
Learning Better Monolingual Models with Unannotated Bilingual Text. CoNLL 2010: 46-54 - [c17]Zhongqiang Huang, Mary P. Harper, Slav Petrov:
Self-Training with Products of Latent Variable Grammars. EMNLP 2010: 12-22 - [c16]Amarnag Subramanya, Slav Petrov, Fernando C. N. Pereira:
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models. EMNLP 2010: 167-176 - [c15]Slav Petrov, Pi-Chuan Chang, Michael Ringgaard, Hiyan Alshawi:
Uptraining for Accurate Deterministic Question Parsing. EMNLP 2010: 705-713 - [c14]Slav Petrov:
Products of Random Latent Variable Grammars. HLT-NAACL 2010: 19-27
2000 – 2009
- 2009
- [b1]Slav Petrov:
Coarse-to-Fine Natural Language Processing. University of California, Berkeley USA, 2009 - [c13]Alexandre Bouchard-Côté, Slav Petrov, Dan Klein:
Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs. NIPS 2009: 144-152 - 2008
- [c12]Slav Petrov, Aria Haghighi, Dan Klein:
Coarse-to-Fine Syntactic Machine Translation using Language Projections. EMNLP 2008: 108-116 - [c11]Slav Petrov, Dan Klein:
Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing. EMNLP 2008: 867-876 - [c10]Benoît Favre, Dilek Hakkani-Tür, Slav Petrov, Dan Klein:
Efficient sentence segmentation using syntactic features. SLT 2008: 77-80 - 2007
- [c9]Slav Petrov, Dan Klein:
Learning and Inference for Hierarchically Split PCFGs. AAAI 2007: 1663-1666 - [c8]Percy Liang, Slav Petrov, Michael I. Jordan, Dan Klein:
The Infinite PCFG Using Hierarchical Dirichlet Processes. EMNLP-CoNLL 2007: 688-697 - [c7]Slav Petrov, Adam Pauls, Dan Klein:
Learning Structured Models for Phone Recognition. EMNLP-CoNLL 2007: 897-905 - [c6]Slav Petrov, Dan Klein:
Improved Inference for Unlexicalized Parsing. HLT-NAACL 2007: 404-411 - [c5]Slav Petrov, Dan Klein:
Discriminative Log-Linear Grammars with Latent Variables. NIPS 2007: 1153-1160 - 2006
- [c4]Slav Petrov, Leon Barrett, Romain Thibaux, Dan Klein:
Learning Accurate, Compact, and Interpretable Tree Annotation. ACL 2006 - [c3]Slav Petrov, Leon Barrett, Dan Klein:
Non-Local Modeling with a Mixture of PCFGs. CoNLL 2006: 14-20 - [c2]Slav Petrov, Arlo Faria, Pascal Michaillat, Alexander C. Berg, Andreas Stolcke, Dan Klein, Jitendra Malik:
Detecting Categories in News Video Using Acoustic, Speech, and Image Features. TRECVID 2006 - 2003
- [c1]Carlo Tomasi, Slav Petrov, Arvind Sastry:
3D Tracking = Classification + Interpolation. ICCV 2003: 1441-1448
Coauthor Index
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