Joshua Maynez

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 45

Top Topics

Text Generation

Improvements In Retrieval Effectiveness

Sentence Compression

Top Venues

Trans. Assoc. Comput. Linguistics

Publications

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 (2024)
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)
Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation. CoRR (2024)
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)
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)
R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson, William W. Cohen
Bayesian Prediction-Powered Inference. CoRR (2024)
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)
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 (2023)
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)
Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan
Calibrating Likelihoods towards Consistency in Summarization Models. CoRR (2023)
Annie Louis, Joshua Maynez
OpineSum: Entailment-based self-training for abstractive opinion summarization. ACL (Findings) (2023)
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann
Benchmarking Large Language Model Capabilities for Conditional Generation. CoRR (2023)
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 (2023)
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
Multilingual Summarization with Factual Consistency Evaluation. ACL (Findings) (2023)
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 (2023)
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 (2023)
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 (2023)
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)
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 (2023)
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 (2023)
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 (2023)
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann
Benchmarking Large Language Model Capabilities for Conditional Generation. ACL (1) (2023)
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 (2022)
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 (2022)
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 (2022)
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
mFACE: Multilingual Summarization with Factual Consistency Evaluation. CoRR (2022)
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 (2022)
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)
Yongtai Liu, Joshua Maynez, Gonçalo Simões, Shashi Narayan
Data Augmentation for Low-Resource Dialogue Summarization. NAACL-HLT (Findings) (2022)
Annie Louis, Joshua Maynez
OpineSum: Entailment-based self-training for abstractive opinion summarization. CoRR (2022)
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 (2022)
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 (2022)
Ran Tian, Joshua Maynez, Ankur P. Parikh
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning. CoRR (2021)
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
Focus Attention: Promoting Faithfulness and Diversity in Summarization. CoRR (2021)
Kishan Sachdeva, Joshua Maynez, Olivier Siohan
Action Item Detection in Meetings Using Pretrained Transformers. ASRU (2021)
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 (2021)
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald
Planning with Entity Chains for Abstractive Summarization. CoRR (2021)
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
Focus Attention: Promoting Faithfulness and Diversity in Summarization. ACL/IJCNLP (1) (2021)
Sascha Rothe, Joshua Maynez, Shashi Narayan
A Thorough Evaluation of Task-Specific Pretraining for Summarization. EMNLP (1) (2021)
Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald
Stepwise Extractive Summarization and Planning with Structured Transformers. EMNLP (1) (2020)
Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald
On Faithfulness and Factuality in Abstractive Summarization. ACL (2020)
Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald
On Faithfulness and Factuality in Abstractive Summarization. CoRR (2020)
Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald
Stepwise Extractive Summarization and Planning with Structured Transformers. CoRR (2020)
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)
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 (2018)