Yue Dong

According to our database, Yue Dong authored at least 23 papers between 2016 and 2024.

Collaborative distances:

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

2024

Mechanisms of non-factual hallucinations in language models.

Lei Yu, Meng Cao, Jackie Chi Kit Cheung, Yue Dong

CoRR, 2024

2023

Fast Text Generation with Text-Editing Models.

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Text Generation with Text-Editing Models.

Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn

CoRR, 2022

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization.

Yue Dong, John Wieting, Pat Verga

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

Learning with Rejection for Abstractive Text Summarization.

Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization.

Meng Cao, Yue Dong, Jackie Chi Kit Cheung

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

2021

Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.

Meng Cao, Yue Dong, Jackie Chi Kit Cheung

CoRR, 2021

On-the-Fly Attention Modularization for Neural Generation.

Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi

CoRR, 2021

Discourse-Aware Unsupervised Summarization for Long Scientific Documents.

Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents.

Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He

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

On-the-Fly Attention Modulation for Neural Generation.

Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization.

Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung

CoRR, 2020

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles.

Yao Lu, Yue Dong, Laurent Charlin

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

Multi-Fact Correction in Abstractive Text Summarization.

Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu

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

Factual Error Correction for Abstractive Summarization Models.

Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung

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

2019

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.

Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing.

Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Multi-Task Communication with Message Passing for Sequence Learning.

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Multi-task Learning over Graph Structures.

Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung

CoRR, 2018

Threaded ensembles of autoencoders for stream learning.

Yue Dong, Nathalie Japkowicz

Comput. Intell., 2018

A Hierarchical Neural Attention-based Text Classifier.

Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

BanditSum: Extractive Summarization as a Contextual Bandit.

Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning.

Yue Dong, Nathalie Japkowicz

Proceedings of the Advances in Artificial Intelligence, 2016