Publications

2024

[32] Mechanisms of non-factual hallucinations in language models
Yu Lei, Meng Cao, JCK Cheung, Yue Dong
EMNLP 2024 Findings
[31] Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation
GM Shahariar, Jia Chen, Jiachen Li, Yue Dong
EMNLP 2024 Findings
[30] How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie
CIKM 2024
[29] IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models
Haz Sameen Shahgir, Khondker Salman Sayeed, Abhik Bhattacharjee, Wasi Uddin Ahmad, Yue Dong, Rifat Shahriyar
Conference on Language Modeling (COLM) 2024
[28] Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack
Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong
ACL 2024
[27] Source-Free Domain Adaptation for Question Answering with Masked Self-training
Maxwell Yin, Boyu Wang, Yue Dong, Charles Ling
TACL 2024
[26] Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks
Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong
ACL Findings 2024
[25] Cross-Modal Safety Alignment: Is textual unlearning all you need?
Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael Abu-Ghazaleh, M Salman Asif, Yue Dong, Amit Roy-Chowdhury, Chengyu Song
EMNLP 2024 Findings
[24] Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset
Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
ACL Findings 2024
[23] Cross-task defense: Instruction-tuning LLMs for content safety
Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos Papalexakis, Aichi Chien, Yue Dong
TrustNLP Workshop @ NAACL 2024
[22] PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering
Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis
ACL Findings 2024
[21] EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models
Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis
ACL Findings 2024
[20] Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models
Erfan Shayegani, Yue Dong, Nael Abu-Ghazaleh
ICLR 2024 (Spotlight), Best Paper Award at 2023 SoCal NLP Symposium
[19] Watermarking conditional text generation for AI detection: Unveiling challenges and a semantic-aware watermark remedy
Yu Fu, Deyi Xiong, Yue Dong
AAAI 2024

2023

[18] Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset
Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
NeurIPS 2023 SoLaR Workshop (Spotlight)
[17] Inverse Reinforcement Learning for Text Summarization
Yu Fu, Deyi Xiong, Yue Dong
Findings of EMNLP 2023

2022

[16] Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization
Yue Dong, John Wieting, Pat Verga
Findings of EMNLP 2022
[15] Learning with Rejection for Abstractive Text Summarization
Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung
EMNLP 2022
[14] Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization
Meng Cao, Yue Dong, Jackie C. K. Cheung
ACL 2022

2021

[13] On-the-Fly Attention Modulation for Neural Generation
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie C. K. Cheung, Yejin Choi
Findings of ACL 2021
[12] 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
ACL 2021
[11] Discourse-Aware Unsupervised Summarization for Long Scientific Documents
Yue Dong, Andrei Romascanu, Jackie C. K. Cheung
EACL 2021

2020

[10] Multi-Fact Correction in Abstractive Text Summarization
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie C. K. Cheung, Jingjing Liu
EMNLP 2020
[9] Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu, Yue Dong, Laurent Charlin
EMNLP 2020
[8] Factual Error Correction for Abstractive Summarization Models
Meng Cao, Yue Dong, Jiapeng Wu, Jackie C. K. Cheung
EMNLP 2020

2019

[7] Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Yue Dong, Matt Grenander, Jackie C. K. Cheung, Annie Louis
EMNLP-IJCNLP 2019
[6] EditNTS: A Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie C. K. Cheung
ACL 2019 (Oral)
[5] Learning Multi-task Communication with Message Passing for Sequence Learning
Pengfei Liu, Yue Dong, Jie Fu, Xipeng Qiu, Jackie C. K. Cheung
AAAI 2019

Before 2018

[4] BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie C. K. Cheung
EMNLP 2018 (Oral)
[3] A Hierarchical Neural Attention-based Text Classifier
Koustuv Sinha, Yue Dong, Jackie C. K. Cheung, Derek Ruths
EMNLP 2018
[2] Threaded ensembles of autoencoders for stream learning
Yue Dong, Nathalie Japkowicz
Computational Intelligence 2018
[1] Threaded ensembles of supervised and unsupervised neural networks for stream learning
Yue Dong, Nathalie Japkowicz
Canadian Conference on Artificial Intelligence 2016 (Best Paper Award)