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] 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

[29] 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

[28] 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

[27] 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

[26] 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

[25] Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks

Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong

ACL Findings 2024

[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] Source-Free Domain Adaptation for Question Answering with Masked Self-training

Maxwell Yin, Boyu Wang, Yue Dong, Charles Ling

TACL 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)