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 (ACL (1), 2018)

On Faithfulness and Factuality in Abstractive Summarization. - Joshua Maynez; Shashi Narayan; Bernd Bohnet; Ryan T. McDonald (ACL, 2020)

Stepwise Extractive Summarization and Planning with Structured Transformers. - Shashi Narayan; Joshua Maynez; Jakub Adámek; Daniele Pighin; Blaz Bratanic; Ryan T. McDonald (EMNLP (1), 2020)

Focus Attention: Promoting Faithfulness and Diversity in Summarization. - Rahul Aralikatte; Shashi Narayan; Joshua Maynez; Sascha Rothe; Ryan T. McDonald (ACL/IJCNLP (1), 2021)

Action Item Detection in Meetings Using Pretrained Transformers. - Kishan Sachdeva; Joshua Maynez; Olivier Siohan (ASRU, 2021)

A Thorough Evaluation of Task-Specific Pretraining for Summarization. - Sascha Rothe; Joshua Maynez; Shashi Narayan (EMNLP (1), 2021)

Planning with Entity Chains for Abstractive Summarization. - Shashi Narayan; Yao Zhao; Joshua Maynez; Gonçalo Simões; Ryan T. McDonald (CoRR, 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 Learned Entity Prompts for Abstractive Summarization. - Shashi Narayan; Yao Zhao; Joshua Maynez; Gonçalo Simões; Vitaly Nikolaev; Ryan T. McDonald (Trans. Assoc. Comput. Linguistics, 2021)

A Well-Composed Text is Half Done! Composition Sampling for Diverse Conditional Generation. - Shashi Narayan; Gonçalo Simões; Yao Zhao; Joshua Maynez; Dipanjan Das 001; Michael Collins 001; Mirella Lapata (ACL (1), 2022)

Data Augmentation for Low-Resource Dialogue Summarization. - Yongtai Liu; Joshua Maynez; Gonçalo Simões; Shashi Narayan (NAACL-HLT (Findings), 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; et al. (CoRR, 2022)

Conditional Generation with a Question-Answering Blueprint. - Shashi Narayan; Joshua Maynez; Reinald Kim Amplayo; Kuzman Ganchev; Annie Louis; Fantine Huot; Dipanjan Das 001; Mirella Lapata (CoRR, 2022)

mFACE: Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (CoRR, 2022)

Multilingual Summarization with Factual Consistency Evaluation. - Roee Aharoni; Shashi Narayan; Joshua Maynez; Jonathan Herzig; Elizabeth Clark; Mirella Lapata (ACL (Findings), 2023)

OpineSum: Entailment-based self-training for abstractive opinion summarization. - Annie Louis; Joshua Maynez (ACL (Findings), 2023)

Benchmarking Large Language Model Capabilities for Conditional Generation. - Joshua Maynez; Priyanka Agrawal; Sebastian Gehrmann (ACL (1), 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 001; Dipanjan Das 001; Mirella Lapata (EACL (System Demonstrations), 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 001; Ankur P. Parikh (EMNLP, 2023)

On Uncertainty Calibration and Selective Generation in Probabilistic Neural Summarization: A Benchmark Study. - Polina Zablotskaia; Du Phan; Joshua Maynez; Shashi Narayan; Jie Ren 006; Jeremiah Z. Liu (EMNLP (Findings), 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)

Language and Task Arithmetic with Parameter-Efficient Layers for Zero-Shot Summarization. - Alexandra Chronopoulou; Jonas Pfeiffer; Joshua Maynez; Xinyi Wang 001; Sebastian Ruder; Priyanka Agrawal (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

QAmeleon: Multilingual QA with Only 5 Examples. - Priyanka Agrawal; Chris Alberti; Fantine Huot; Joshua Maynez; Ji Ma 004; Sebastian Ruder; Kuzman Ganchev; Dipanjan Das 001; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2023)

Conditional Generation with a Question-Answering Blueprint. - Shashi Narayan; Joshua Maynez; Reinald Kim Amplayo; Kuzman Ganchev; Annie Louis; Fantine Huot; Anders Sandholm 001; Dipanjan Das 001; Mirella Lapata (Trans. Assoc. Comput. Linguistics, 2023)

Learning to Plan and Generate Text with Citations. - Constanza Fierro; Reinald Kim Amplayo; Fantine Huot; Nicola De Cao; Joshua Maynez; Shashi Narayan; Mirella Lapata (ACL (1), 2024)

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 (LREC/COLING, 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 (EACL (1), 2024)

Stratified Prediction-Powered Inference for Effective Hybrid Evaluation of Language Models. - Adam Fisch; Joshua Maynez; R. Alex Hofer; Bhuwan Dhingra; Amir Globerson; William W. Cohen (NeurIPS, 2024)

Bayesian Prediction-Powered Inference. - R. Alex Hofer; Joshua Maynez; Bhuwan Dhingra; Adam Fisch; Amir Globerson; William W. Cohen (CoRR, 2024)

Stratified Prediction-Powered Inference for Hybrid Language Model Evaluation. - Adam Fisch; Joshua Maynez; R. Alex Hofer; Bhuwan Dhingra; Amir Globerson; William W. Cohen (CoRR, 2024)

ECLeKTic: a Novel Challenge Set for Evaluation of Cross-Lingual Knowledge Transfer. - Omer Goldman; Uri Shaham 002; Dan Malkin; Sivan Eiger; Avinatan Hassidim; Yossi Matias; Joshua Maynez; Adi Mayrav Gilady; Jason Riesa; Shruti Rijhwani; Laura Rimell; Idan Szpektor; et al. (CoRR, 2025)