Joshua Maynez
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
17
Venues
6
Active years
2018–2024
Best venue rank
A*
Where they publish
Papers
17 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | ACL | Learning to Plan and Generate Text with Citations. | Constanza Fierro, Reinald Kim Amplayo, Fantine Huot, Nicola De Cao, Joshua Maynez, Shashi Narayan, Mirella Lapata |
| 2024 | COLING | 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 |
| 2024 | EACL | 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 |
| 2023 | ACL | Multilingual Summarization with Factual Consistency Evaluation. | Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, Mirella Lapata |
| 2023 | ACL | OpineSum: Entailment-based self-training for abstractive opinion summarization. | Annie Louis, Joshua Maynez |
| 2023 | ACL | Benchmarking Large Language Model Capabilities for Conditional Generation. | Joshua Maynez, Priyanka Agrawal, Sebastian Gehrmann |
| 2023 | EACL | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2022 | ACL | A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. | Shashi Narayan, Gonalo Simes, Yao Zhao, Joshua Maynez, Dipanjan Das, Michael Collins, Mirella Lapata |
| 2022 | NAACL | Data Augmentation for Low-Resource Dialogue Summarization. | Yongtai Liu, Joshua Maynez, Gonalo Simes, Shashi Narayan |
| 2021 | ACL | Focus Attention: Promoting Faithfulness and Diversity in Summarization. | Rahul Aralikatte, Shashi Narayan, Joshua Maynez, Sascha Rothe, Ryan T. McDonald |
| 2021 | ASRU | Action Item Detection in Meetings Using Pretrained Transformers. | Kishan Sachdeva, Joshua Maynez, Olivier Siohan |
| 2021 | EMNLP | A Thorough Evaluation of Task-Specific Pretraining for Summarization. | Sascha Rothe, Joshua Maynez, Shashi Narayan |
| 2020 | ACL | On Faithfulness and Factuality in Abstractive Summarization. | Joshua Maynez, Shashi Narayan, Bernd Bohnet, Ryan T. McDonald |
| 2020 | EMNLP | Stepwise Extractive Summarization and Planning with Structured Transformers. | Shashi Narayan, Joshua Maynez, Jakub Admek, Daniele Pighin, Blaz Bratanic, Ryan T. McDonald |
| 2018 | ACL | Morphosyntactic Tagging with a Meta-BiLSTM Model over Context Sensitive Token Encodings. | Bernd Bohnet, Ryan T. McDonald, Gonalo Simes, Daniel Andor, Emily Pitler, Joshua Maynez |