Joshua Maynez

47 papers A* 3C 1Journal 29Unranked 14
YearRankTypeTitle / Venue / Authors
2025 J jnl
ECLeKTic: a Novel Challenge Set for Evaluation of Cross-Lingual Knowledge Transfer.
CoRR
Omer Goldman, Uri Shaham, Dan Malkin, Sivan Eiger, Avinatan Hassidim, Yossi Matias, Joshua Maynez, Adi Mayrav Gilady, Jason Riesa, Shruti Rijhwani, Laura Rimell, Idan Szpektor, Reut Tsarfaty, Matan Eyal
2024 J jnl
Bayesian Prediction-Powered Inference.
CoRR
R. Alex Hofer, Joshua Maynez, Bhuwan Dhingra, Adam Fisch, Amir Globerson, William W. Cohen
2024 — conf
Learning to Plan and Generate Text with Citations.
ACL (1)
Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
2024 J jnl
Learning to Plan and Generate Text with Citations.
CoRR
Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata
2024 — conf
Little Red Riding Hood Goes around the Globe: Crosslingual Story Planning and Generation with Large Language Models.
LREC/COLING
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan
2024 A* conf
Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models.
NeurIPS
Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
2024 J jnl
Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation.
CoRR
Adam Fisch, Joshua Maynez, R. Alex Hofer, Bhuwan Dhingra, Amir Globerson, William W. Cohen
2024 — conf
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge.
EACL (1)
Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata
2023 — conf
Benchmarking Large Language Model Capabilities for Conditional Generation.
ACL (1)
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann
2023 J jnl
Benchmarking Large Language Model Capabilities for Conditional Generation.
CoRR
Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann
2023 J jnl
Calibrating Likelihoods towards Consistency in Summarization Models.
CoRR
Polina Zablotskaia, Misha Khalman, Rishabh Joshi, Livio Baldini Soares, Shoshana Jakobovits, Joshua Maynez, Shashi Narayan
2023 J jnl
Conditional Generation with a Question-Answering Blueprint.
Trans. Assoc. Comput. Linguistics
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Anders Sandholm, Dipanjan Das, Mirella Lapata
2023 J jnl
Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization.
CoRR
Alexandra Chronopoulou, Jonas Pfeiffer, Joshua Maynez, Xinyi Wang, Sebastian Ruder, Priyanka Agrawal
2023 — conf
Multilingual Summarization with Factual Consistency Evaluation.
ACL (Findings)
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
2023 — conf
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study.
EMNLP (Findings)
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu
2023 J jnl
On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study.
CoRR
Polina Zablotskaia, Du Phan, Joshua Maynez, Shashi Narayan, Jie Ren, Jeremiah Z. Liu
2023 — conf
OpineSum: Entailment-based self-training for abstractive opinion summarization.
ACL (Findings)
Annie Louis, Joshua Maynez
2023 J jnl
PaLM: Scaling Language Modeling with Pathways.
J. Mach. Learn. Res.
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
2023 J jnl
QAmeleon: Multilingual QA with Only 5 Examples.
Trans. Assoc. Comput. Linguistics
Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata
2023 A* conf
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation.
EMNLP
Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh
2023 J jnl
SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation.
CoRR
Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni, Vitaly Nikolaev, Thibault Sellam, Aditya Siddhant, Dipanjan Das, Ankur P. Parikh
2023 — conf
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation.
EACL (System Demonstrations)
Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Priyadarshini Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata
2023 J jnl
Text-Blueprint: An Interactive Platform for Plan-based Conditional Generation.
CoRR
Fantine Huot, Joshua Maynez, Shashi Narayan, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Anders Sandholm, Dipanjan Das, Mirella Lapata
2023 J jnl
μPLAN: Summarizing using a Content Plan as Cross-Lingual Bridge.
CoRR
Fantine Huot, Joshua Maynez, Chris Alberti, Reinald Kim Amplayo, Priyanka Agrawal, Constanza Fierro, Shashi Narayan, Mirella Lapata
2022 — conf
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation.
ACL (1)
Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata
2022 J jnl
A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation.
CoRR
Shashi Narayan, Gonçalo Simões, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata
2022 J jnl
Conditional Generation with a Question-Answering Blueprint.
CoRR
Shashi Narayan, Joshua Maynez, Reinald Kim Amplayo, Kuzman Ganchev, Annie Louis, Fantine Huot, Dipanjan Das, Mirella Lapata
2022 — conf
Data Augmentation for Low-Resource Dialogue Summarization.
NAACL-HLT (Findings)
Yongtai Liu, Joshua Maynez, Gonçalo Simões, Shashi Narayan
2022 J jnl
GEMv2: Multilingual NLG Benchmarking in a Single Line of Code.
CoRR
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
2022 J jnl
Little Red Riding Hood Goes Around the Globe: Crosslingual Story Planning and Generation with Large Language Models.
CoRR
Evgeniia Razumovskaia, Joshua Maynez, Annie Louis, Mirella Lapata, Shashi Narayan
2022 J jnl
OpineSum: Entailment-based self-training for abstractive opinion summarization.
CoRR
Annie Louis, Joshua Maynez
2022 J jnl
PaLM: Scaling Language Modeling with Pathways.
CoRR
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
2022 J jnl
QAmeleon: Multilingual QA with Only 5 Examples.
CoRR
Priyanka Agrawal, Chris Alberti, Fantine Huot, Joshua Maynez, Ji Ma, Sebastian Ruder, Kuzman Ganchev, Dipanjan Das, Mirella Lapata
2022 J jnl
mFACE: Multilingual Summarization with Factual Consistency Evaluation.
CoRR
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata
2021 — conf
A Thorough Evaluation of Task-Specific Pretraining for Summarization.
EMNLP (1)
Sascha Rothe, Joshua Maynez, Shashi Narayan
2021 C conf
Action Item Detection in Meetings Using Pretrained Transformers.
ASRU
Kishan Sachdeva, Joshua Maynez, Olivier Siohan
2021 — conf
Focus Attention: Promoting Faithfulness and Diversity in Summarization.
ACL/IJCNLP (1)
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
2021 J jnl
Focus Attention: Promoting Faithfulness and Diversity in Summarization.
CoRR
Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald
2021 J jnl
Planning with Entity Chains for Abstractive Summarization.
CoRR
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Ryan T. McDonald
2021 J jnl
Planning with Learned Entity Prompts for Abstractive Summarization.
Trans. Assoc. Comput. Linguistics
Shashi Narayan, Yao Zhao, Joshua Maynez, Gonçalo Simões, Vitaly Nikolaev, Ryan T. McDonald
2021 J jnl
Shatter: An Efficient Transformer Encoder with Single-Headed Self-Attention and Relative Sequence Partitioning.
CoRR
Ran Tian, Joshua Maynez, Ankur P. Parikh
2020 A* conf
On Faithfulness and Factuality in Abstractive Summarization.
ACL
Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald
2020 J jnl
On Faithfulness and Factuality in Abstractive Summarization.
CoRR
Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald
2020 — conf
Stepwise Extractive Summarization and Planning with Structured Transformers.
EMNLP (1)
Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald
2020 J jnl
Stepwise Extractive Summarization and Planning with Structured Transformers.
CoRR
Shashi Narayan, Joshua Maynez, Jakub Adámek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald
2018 — conf
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings.
ACL (1)
Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez
2018 J jnl
Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings.
CoRR
Bernd Bohnet, Ryan T. McDonald, Gonçalo Simões, Daniel Andor, Emily Pitler, Joshua Maynez