Joshua Maynez

According to our database, Joshua Maynez authored at least 26 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge.

Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

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

J. Mach. Learn. Res., 2023

Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization.

Alexandra Chronopoulou, Jonas Pfeiffer, Joshua Maynez, Xinyi Wang, Sebastian Ruder, Priyanka Agrawal

CoRR, 2023

Calibrating Likelihoods towards Consistency in Summarization Models.

Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan

CoRR, 2023

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study.

Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation.

Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation.

Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics. EACL 2023, 2023

Benchmarking Large Language Model Capabilities for Conditional Generation.

Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

OpineSum: Entailment-based self-training for abstractive opinion summarization.

Annie Louis, Joshua Maynez

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Multilingual Summarization with Factual Consistency Evaluation.

Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

mFACE: Multilingual Summarization with Factual Consistency Evaluation.

Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata

CoRR, 2022

Little Red Riding Hood Goes Around the Globe: Crosslingual Story Planning and Generation with Large Language Models.

Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan

CoRR, 2022

QAmeleon: Multilingual QA with Only 5 Examples.

Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata

CoRR, 2022

Conditional Generation with a Question-Answering Blueprint.

Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata

CoRR, 2022

GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.

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

CoRR, 2022

Data Augmentation for Low-Resource Dialogue Summarization.

Yongtai Liu, Joshua Maynez, Gonçalo Simões, Shashi Narayan

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation.

Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Planning with Learned Entity Prompts for Abstractive Summarization.

Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Vitaly Nikolaev, Ryan T. McDonald

Trans. Assoc. Comput. Linguistics, 2021

Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning.

Ran Tian, Joshua Maynez, Ankur P. Parikh

CoRR, 2021

Planning with Entity Chains for Abstractive Summarization.

Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald

CoRR, 2021

A Thorough Evaluation of Task-Specific Pretraining for Summarization.

Sascha Rothe, Joshua Maynez, Shashi Narayan

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Action Item Detection in Meetings Using Pretrained Transformers.

Kishan Sachdeva, Joshua Maynez, Olivier Siohan

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2021

Focus Attention: Promoting Faithfulness and Diversity in Summarization.

Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Stepwise Extractive Summarization and Planning with Structured Transformers.

Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

On Faithfulness and Factuality in Abstractive Summarization.

Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2018

Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings.

Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018