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Yue Dong
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Banditsum: Extractive summarization as a contextual bandit
Y Dong, Y Shen, E Crawford, H van Hoof, JCK Cheung
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
2272018
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Y Dong, Z Li, M Rezagholizadeh, JCK Cheung
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1812019
Factual error correction for abstractive summarization models
M Cao, Y Dong, J Wu, JCK Cheung
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1342020
Multi-fact correction in abstractive text summarization
Y Dong, S Wang, Z Gan, Y Cheng, JCK Cheung, J Liu
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1102020
Hallucinated but factual! inspecting the factuality of hallucinations in abstractive summarization
M Cao, Y Dong, JCK Cheung
Proceedings of the 60th Annual Meeting of the Association for Computational …, 2022
1062022
Multi-XScience: A large-scale dataset for extreme multi-document summarization of scientific articles
Y Lu, Y Dong, L Charlin
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
842020
Discourse-Aware Unsupervised Summarization of Long Scientific Documents
Y Dong, A Romascanu, JCK Cheung
Proceedings of the 16th Conference of the European Chapter of the …, 2021
68*2021
A hierarchical neural attention-based text classifier
K Sinha, Y Dong, JCK Cheung, D Ruths
Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018
642018
Survey of vulnerabilities in large language models revealed by adversarial attacks
E Shayegani, MAA Mamun, Y Fu, P Zaree, Y Dong, N Abu-Ghazaleh
arXiv preprint arXiv:2310.10844, 2023
452023
Threaded ensembles of autoencoders for stream learning
Y Dong, N Japkowicz
Computational Intelligence 34 (1), 261-281, 2018
452018
A survey on neural network-based summarization methods
Y Dong
arXiv preprint arXiv:1804.04589, 2018
432018
Bringing structure into summaries: a faceted summarization dataset for long scientific documents
R Meng, K Thaker, L Zhang, Y Dong, X Yuan, T Wang, D He
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
412021
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
M Grenander, Y Dong, JCK Cheung, A Louis
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
392019
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
E Shayegani, Y Dong, N Abu-Ghazaleh
International Conference on Learning Representations (ICLR 2024), 2024
35*2024
Text generation with text-editing models
E Malmi, Y Dong, J Mallinson, A Chuklin, J Adamek, D Mirylenka, ...
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
302022
Learning multi-task communication with message passing for sequence learning
P Liu, J Fu, Y Dong, X Qiu, JCK Cheung
Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 4360-4367, 2019
262019
Faithful to the document or to the world? mitigating hallucinations via entity-linked knowledge in abstractive summarization
Y Dong, J Wieting, P Verga
Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
222022
Threaded ensembles of supervised and unsupervised neural networks for stream learning
Y Dong, N Japkowicz
Advances in Artificial Intelligence: 29th Canadian Conference on Artificial …, 2016
182016
Watermarking conditional text generation for AI detection: Unveiling challenges and a semantic-aware watermark remedy
Y Fu, D Xiong, Y Dong
The 38th Annual AAAI Conference on Artificial Intelligence, 2024
122024
Advances in artificial intelligence
Y Dong, N Japkowicz
Chap Threaded ensembles of supervised and unsupervised neural networks for …, 2016
122016
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Articles 1–20