Publications

Yu Fu, Deyi Xiong, Yue Dong (2023). Inverse Reinforcement Learning for Text Summarization. Findings of Empirical Methods of Natural Language Processing (Findings of EMNLP).

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Yue Dong, John Wieting, Pat Verga (2022). Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization. Findings of Empirical Methods of Natural Language Processing (Findings of EMNLP).

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Meng Cao, Yue Dong, Jingyi He, Jackie Cheung (2022). Learning with Rejection for Abstractive Text Summarization. In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP).

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Meng Cao, Yue Dong, Jackie Cheung (2022). Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. Annual Meeting of the Association for Computational Linguistics (ACL).

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Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi (2021). On-the-Fly Attention Modulation for Neural Generation. Findings of the Association for Computational Linguistics (Findings of ACL).

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Rui Meng, khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He (2021). Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. Annual Meeting of the Association for Computational Linguistics (ACL).

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Yue Dong, Andrei Mircea, Jackie Chi Kit Cheung (2021). Discourse-Aware Unsupervised Summarization of Long Scientific Documents. European Chapter of the Association for Computational Linguistics (EACL).

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Yao Lu, Yue Dong, Laurent Charlin (2020). Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. Empirical Methods of Natural Language Processing (EMNLP).

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Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu (2020). Multi-Fact Correction in Abstractive Text Summarization. Empirical Methods of Natural Language Processing (EMNLP).

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Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung (2020). Factual Error Correction for Abstractive Summarization Models. Empirical Methods of Natural Language Processing (EMNLP).

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Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis (2019). Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. Empirical Methods of Natural Language Processing (EMNLP).

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Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung (2019). EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. Annual Meeting of the Association for Computational Linguistics (ACL).

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Pengfei Liu, Fu Jie, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung (2019). Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. AAAI Conference on Artificial Intelligence (AAAI).

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Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung (2018). BanditSum: Extractive Summarization as a Contextual Bandit. Empirical Methods of Natural Language Processing (EMNLP).

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Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths (2018). A Hierarchical Neural Attention-based Text Classifier. Empirical Methods of Natural Language Processing (EMNLP).

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Yue Dong, Nathalie Japkowicz (2018). Threaded ensembles of autoencoders for stream learning. Computational Intelligence.

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Yue Dong, Nathalie Japkowicz (2016). Threaded ensembles of supervised and unsupervised neural networks for stream learning. Canadian conference on artificial intelligence.

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