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Yue Dong 0002
Person information
- unicode name: 董悦
- affiliation: University of California, Riverside, CA, USA
- affiliation (former, PhD 2022): McGill University, School of Computer Science, Montreal, QC, Canada
- affiliation (former): Montreal Institute of Learning Algorithms, QC, Canada
- affiliation (former): University of Ottawa, Department of Mathematics and Statistics, ON, Canada
Other persons with the same name
- Yue Dong — disambiguation page
- Yue Dong 0001
— Microsoft Research Asia, Beijing, China (and 1 more)
- Yue Dong 0003
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2020 – today
- 2024
- [j2]Maxwell J. Yin, Boyu Wang, Yue Dong
Source-Free Domain Adaptation for Question Answering with Masked Self-training. Trans. Assoc. Comput. Linguistics 12: 721-737 (2024) - [c27]Yu Fu, Deyi Xiong, Yue Dong
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. AAAI 2024: 18003-18011 - [c26]Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong:
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation. ACL (Findings) 2024: 427-452 - [c25]Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong:
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks. ACL (Findings) 2024: 5779-5796 - [c24]Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong:
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack. ACL (1) 2024: 8483-8502 - [c23]Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis:
EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models. ACL (Findings) 2024: 13049-13063 - [c22]Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis:
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. ACL (Findings) 2024: 13129-13148 - [c21]Fengran Mo
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval. CIKM 2024: 3954-3958 - [c20]Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong:
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. EMNLP (Findings) 2024: 7943-7956 - [c19]Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael B. Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song:
Can Textual Unlearning Solve Cross-Modality Safety Alignment? EMNLP (Findings) 2024: 9830-9844 - [c18]Erfan Shayegani, Yue Dong, Nael B. Abu-Ghazaleh:
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models. ICLR 2024 - [i36]Yufei Li, Simin Chen, Yanghong Guo, Wei Yang, Yue Dong, Cong Liu:
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study. CoRR abs/2402.05939 (2024) - [i35]Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis:
EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models. CoRR abs/2402.10866 (2024) - [i34]Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis:
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. CoRR abs/2402.11034 (2024) - [i33]Haz Sameen Shahgir, Khondker Salman Sayeed, Abhik Bhattacharjee, Wasi Uddin Ahmad, Yue Dong, Rifat Shahriyar:
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models. CoRR abs/2403.15952 (2024) - [i32]Lei Yu, Meng Cao, Jackie Chi Kit Cheung, Yue Dong:
Mechanisms of non-factual hallucinations in language models. CoRR abs/2403.18167 (2024) - [i31]Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos E. Papalexakis, Aichi Chien, Yue Dong:
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety. CoRR abs/2405.15202 (2024) - [i30]Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao:
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. CoRR abs/2406.02069 (2024) - [i29]Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael B. Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song:
Cross-Modal Safety Alignment: Is textual unlearning all you need? CoRR abs/2406.02575 (2024) - [i28]Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis:
Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources. CoRR abs/2406.07136 (2024) - [i27]Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, Evangelos E. Papalexakis:
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models. CoRR abs/2406.17261 (2024) - [i26]Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie:
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval. CoRR abs/2407.16192 (2024) - [i25]G. M. Shahariar, Jia Chen, Jiachen Li, Yue Dong:
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation. CoRR abs/2409.15381 (2024) - [i24]Xiaopan Zhang, Hao Qin, Fuquan Wang, Yue Dong, Jiachen Li:
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner. CoRR abs/2409.20560 (2024) - [i23]Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao:
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning. CoRR abs/2410.19258 (2024) - 2023
- [c17]Yu Fu, Deyi Xiong, Yue Dong
Inverse Reinforcement Learning for Text Summarization. EMNLP (Findings) 2023: 6559-6570 - [c16]Eric Malmi
Fast Text Generation with Text-Editing Models. KDD 2023: 5815-5816 - [i22]Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung:
Learning with Rejection for Abstractive Text Summarization. CoRR abs/2302.08531 (2023) - [i21]Yu Fu, Deyi Xiong, Yue Dong:
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. CoRR abs/2307.13808 (2023) - [i20]Erfan Shayegani, Yue Dong, Nael B. Abu-Ghazaleh:
Plug and Pray: Exploiting off-the-shelf components of Multi-Modal Models. CoRR abs/2307.14539 (2023) - [i19]Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, Nael B. Abu-Ghazaleh:
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks. CoRR abs/2310.10844 (2023) - [i18]Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong:
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset. CoRR abs/2311.09443 (2023) - [i17]Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong:
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack. CoRR abs/2312.06924 (2023) - [i16]Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong:
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks. CoRR abs/2312.14440 (2023) - 2022
- [c15]Meng Cao, Yue Dong
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. ACL (1) 2022: 3340-3354 - [c14]Yue Dong, John Wieting, Pat Verga:
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization. EMNLP (Findings) 2022: 1067-1082 - [c13]Meng Cao, Yue Dong
Learning with Rejection for Abstractive Text Summarization. EMNLP 2022: 9768-9780 - [i15]Yue Dong, John Wieting, Pat Verga:
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization. CoRR abs/2204.13761 (2022) - [i14]Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn:
Text Generation with Text-Editing Models. CoRR abs/2206.07043 (2022) - [i13]Yu Fu, Deyi Xiong, Yue Dong:
Inverse Reinforcement Learning for Text Summarization. CoRR abs/2212.09917 (2022) - 2021
- [c12]Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. ACL/IJCNLP (2) 2021: 1080-1089 - [c11]Yue Dong
On-the-Fly Attention Modulation for Neural Generation. ACL/IJCNLP (Findings) 2021: 1261-1274 - [c10]Yue Dong
Discourse-Aware Unsupervised Summarization for Long Scientific Documents. EACL 2021: 1089-1102 - [i12]Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi:
On-the-Fly Attention Modularization for Neural Generation. CoRR abs/2101.00371 (2021) - [i11]Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He:
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. CoRR abs/2106.00130 (2021) - [i10]Meng Cao, Yue Dong, Jackie Chi Kit Cheung:
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization. CoRR abs/2109.09784 (2021) - 2020
- [c9]Meng Cao, Yue Dong
Factual Error Correction for Abstractive Summarization Models. EMNLP (1) 2020: 6251-6258 - [c8]Yao Lu, Yue Dong
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. EMNLP (1) 2020: 8068-8074 - [c7]Yue Dong
Multi-Fact Correction in Abstractive Text Summarization. EMNLP (1) 2020: 9320-9331 - [i9]Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung:
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization. CoRR abs/2005.00513 (2020) - [i8]Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu:
Multi-Fact Correction in Abstractive Text Summarization. CoRR abs/2010.02443 (2020) - [i7]Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung:
Factual Error Correction for Abstractive Summarization Models. CoRR abs/2010.08712 (2020) - [i6]Yao Lu, Yue Dong, Laurent Charlin:
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. CoRR abs/2010.14235 (2020)
2010 – 2019
- 2019
- [c6]Pengfei Liu, Jie Fu, Yue Dong
Learning Multi-Task Communication with Message Passing for Sequence Learning. AAAI 2019: 4360-4367 - [c5]Yue Dong
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. ACL (1) 2019: 3393-3402 - [c4]Matt Grenander, Yue Dong
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. EMNLP/IJCNLP (1) 2019: 6018-6023 - [i5]Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung:
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. CoRR abs/1906.08104 (2019) - [i4]Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis:
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. CoRR abs/1909.04028 (2019) - 2018
- [j1]Yue Dong
Threaded ensembles of autoencoders for stream learning. Comput. Intell. 34(1): 261-281 (2018) - [c3]Koustuv Sinha, Yue Dong
A Hierarchical Neural Attention-based Text Classifier. EMNLP 2018: 817-823 - [c2]Yue Dong
BanditSum: Extractive Summarization as a Contextual Bandit. EMNLP 2018: 3739-3748 - [i3]Yue Dong:
A Survey on Neural Network-Based Summarization Methods. CoRR abs/1804.04589 (2018) - [i2]Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung:
BanditSum: Extractive Summarization as a Contextual Bandit. CoRR abs/1809.09672 (2018) - [i1]Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung:
Multi-task Learning over Graph Structures. CoRR abs/1811.10211 (2018) - 2016
- [c1]Yue Dong
Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning. Canadian AI 2016: 304-315
Coauthor Index
aka: Jackie C. K. Cheung
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last updated on 2024-12-02 22:25 CET by the dblp team
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