![](https://dblp.dagstuhl.de/img/logo.ua.320x120.png)
![](https://dblp.dagstuhl.de/img/dropdown.dark.16x16.png)
![](https://dblp.dagstuhl.de/img/peace.dark.16x16.png)
Остановите войну!
for scientists:
![search dblp search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
![search dblp](https://dblp.dagstuhl.de/img/search.dark.16x16.png)
default search action
Joshua Maynez
Person information
Refine list
![note](https://dblp.dagstuhl.de/img/note-mark.dark.12x12.png)
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c17]Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata:
Learning to Plan and Generate Text with Citations. ACL (1) 2024: 11397-11417 - [c16]Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan:
Little Red Riding Hood Goes around the Globe: Crosslingual Story Planning and Generation with Large Language Models. LREC/COLING 2024: 10616-10631 - [c15]Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata:
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge. EACL (1) 2024: 2146-2163 - [i24]Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata:
Learning to Plan and Generate Text with Citations. CoRR abs/2404.03381 (2024) - [i23]R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson, William W. Cohen:
Bayesian Prediction-Powered Inference. CoRR abs/2405.06034 (2024) - [i22]Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen:
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation. CoRR abs/2406.04291 (2024) - 2023
- [j4]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) - [j3]Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata:
Conditional Generation with a Question-Answering Blueprint. Trans. Assoc. Comput. Linguistics 11: 974-996 (2023) - [j2]Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata:
QAmeleon: Multilingual QA with Only 5 Examples. Trans. Assoc. Comput. Linguistics 11: 1754-1771 (2023) - [c14]Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata:
Multilingual Summarization with Factual Consistency Evaluation. ACL (Findings) 2023: 3562-3591 - [c13]Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann:
Benchmarking Large Language Model Capabilities for Conditional Generation. ACL (1) 2023: 9194-9213 - [c12]Annie Louis, Joshua Maynez:
OpineSum: Entailment-based self-training for abstractive opinion summarization. ACL (Findings) 2023: 10774-10790 - [c11]Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata:
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. EACL (System Demonstrations) 2023: 105-116 - [c10]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. EMNLP (Findings) 2023: 2980-2992 - [c9]Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh:
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. EMNLP 2023: 9397-9413 - [i21]Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu:
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. CoRR abs/2304.08653 (2023) - [i20]Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata:
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation. CoRR abs/2305.00034 (2023) - [i19]Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh:
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation. CoRR abs/2305.13194 (2023) - [i18]Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata:
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge. CoRR abs/2305.14205 (2023) - [i17]Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann:
Benchmarking Large Language Model Capabilities for Conditional Generation. CoRR abs/2306.16793 (2023) - [i16]Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan:
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR abs/2310.08764 (2023) - [i15]Alexandra Chronopoulou, Jonas Pfeiffer, Joshua Maynez, Xinyi Wang, Sebastian Ruder, Priyanka Agrawal:
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization. CoRR abs/2311.09344 (2023) - 2022
- [c8]Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata:
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. ACL (1) 2022: 1319-1339 - [c7]Yongtai Liu, Joshua Maynez, Gonçalo Simões, Shashi Narayan:
Data Augmentation for Low-Resource Dialogue Summarization. NAACL-HLT (Findings) 2022: 703-710 - [i14]Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata:
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. CoRR abs/2203.15108 (2022) - [i13]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) - [i12]Sebastian Gehrmann, Abhik Bhattacharjee, Abinaya Mahendiran, Alex Wang, Alexandros Papangelis, Aman Madaan, Angelina McMillan-Major, Anna Shvets, Ashish Upadhyay, Bingsheng Yao, Bryan Wilie, Chandra Bhagavatula, Chaobin You, Craig Thomson, Cristina Garbacea, Dakuo Wang, Daniel Deutsch, Deyi Xiong, Di Jin, Dimitra Gkatzia, Dragomir R. Radev, Elizabeth Clark, Esin Durmus, Faisal Ladhak, Filip Ginter, Genta Indra Winata, Hendrik Strobelt, Hiroaki Hayashi, Jekaterina Novikova, Jenna Kanerva, Jenny Chim, Jiawei Zhou, Jordan Clive, Joshua Maynez, João Sedoc, Juraj Juraska, Kaustubh D. Dhole, Khyathi Raghavi Chandu, Laura Perez-Beltrachini, Leonardo F. R. Ribeiro, Lewis Tunstall, Li Zhang, Mahima Pushkarna, Mathias Creutz, Michael White, Mihir Sanjay Kale, Moussa Kamal Eddine, Nico Daheim, Nishant Subramani, Ondrej Dusek
, Paul Pu Liang, Pawan Sasanka Ammanamanchi, Qi Zhu, Ratish Puduppully, Reno Kriz, Rifat Shahriyar, Ronald Cardenas, Saad Mahamood, Salomey Osei, Samuel Cahyawijaya, Sanja Stajner
, Sébastien Montella, Shailza Jolly, Simon Mille, Tahmid Hasan, Tianhao Shen, Tosin P. AMahidewumi, Vikas Raunak, Vipul Raheja, Vitaly Nikolaev, Vivian Tsai, Yacine Jernite, Ying Xu, Yisi Sang, Yixin Liu, Yufang Hou:
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code. CoRR abs/2206.11249 (2022) - [i11]Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata:
Conditional Generation with a Question-Answering Blueprint. CoRR abs/2207.00397 (2022) - [i10]Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata:
QAmeleon: Multilingual QA with Only 5 Examples. CoRR abs/2211.08264 (2022) - [i9]Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan:
Little Red Riding Hood Goes Around the Globe: Crosslingual Story Planning and Generation with Large Language Models. CoRR abs/2212.10471 (2022) - [i8]Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata:
mFACE: Multilingual Summarization with Factual Consistency Evaluation. CoRR abs/2212.10622 (2022) - [i7]Annie Louis, Joshua Maynez:
OpineSum: Entailment-based self-training for abstractive opinion summarization. CoRR abs/2212.10791 (2022) - 2021
- [j1]Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Vitaly Nikolaev, Ryan T. McDonald:
Planning with Learned Entity Prompts for Abstractive Summarization. Trans. Assoc. Comput. Linguistics 9: 1475-1492 (2021) - [c6]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL/IJCNLP (1) 2021: 6078-6095 - [c5]Kishan Sachdeva, Joshua Maynez, Olivier Siohan:
Action Item Detection in Meetings Using Pretrained Transformers. ASRU 2021: 861-868 - [c4]Sascha Rothe, Joshua Maynez, Shashi Narayan:
A Thorough Evaluation of Task-Specific Pretraining for Summarization. EMNLP (1) 2021: 140-145 - [i6]Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald:
Planning with Entity Chains for Abstractive Summarization. CoRR abs/2104.07606 (2021) - [i5]Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald:
Focus Attention: Promoting Faithfulness and Diversity in Summarization. CoRR abs/2105.11921 (2021) - [i4]Ran Tian, Joshua Maynez, Ankur P. Parikh:
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning. CoRR abs/2108.13032 (2021) - 2020
- [c3]Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald:
On Faithfulness and Factuality in Abstractive Summarization. ACL 2020: 1906-1919 - [c2]Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald:
Stepwise Extractive Summarization and Planning with Structured Transformers. EMNLP (1) 2020: 4143-4159 - [i3]Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald:
On Faithfulness and Factuality in Abstractive Summarization. CoRR abs/2005.00661 (2020) - [i2]Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald:
Stepwise Extractive Summarization and Planning with Structured Transformers. CoRR abs/2010.02744 (2020)
2010 – 2019
- 2018
- [c1]Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez:
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings. ACL (1) 2018: 2642-2652 - [i1]Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez:
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings. CoRR abs/1805.08237 (2018)
Coauthor Index
![](https://dblp.dagstuhl.de/img/cog.dark.24x24.png)
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-08-27 21:59 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint