Yue Dong

93 papers A* 12A 3Journal 54Unranked 24
YearRankTypeTitle / Venue / Authors
2026 A conf
A Real-Time System to Populate FRA Form 57 from News.
WSDM
Chansong Lim, Haz Sameen Shahgir, Yue Dong, Jia Chen, Evangelos E. Papalexakis
2026 J jnl
AttenMIA: LLM Membership Inference Attack through Attention Signals.
CoRR
Pedram Zaree, Md Abdullah Al Mamun, Yue Dong, Ihsen Alouani, Nael B. Abu-Ghazaleh
2026 J jnl
Deploying AI for Signal Processing Education: Selected challenges and intriguing opportunities [Special Issue on Artificial Intelligence for Education: A Signal Processing Perspective].
IEEE Signal Process. Mag.
Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akçakaya, Georgios B. Giannakis
2026 A* conf
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models.
AAAI
Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong
2026 J jnl
Thinking Out of Order: When Output Order Stops Reflecting Reasoning Order in Diffusion Language Models.
CoRR
Longxuan Yu, Yu Fu, Shaorong Zhang, Hui Liu, Mukund Varma T, Greg Ver Steeg, Yue Dong
2026 J jnl
Toward Autonomous Laboratory Safety Monitoring with Vision Language Models: Learning to See Hazards Through Scene Structure.
CoRR
Trishna Chakraborty, Udita Ghosh, Aldair Ernesto Gongora, Ruben Glatt, Yue Dong, Jiachen Li, Amit K. Roy-Chowdhury, Chengyu Song
2025 J jnl
A Real-Time System to Populate FRA Form 57 from News.
CoRR
Chansong Lim, Haz Sameen Shahgir, Yue Dong, Jia Chen, Evangelos E. Papalexakis
2025 J jnl
AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion.
CoRR
Abrar Rahman Abir, Haz Sameen Shahgir, Md Rownok Zahan Ratul, Md Toki Tahmid, Greg Ver Steeg, Yue Dong
2025 A* conf
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment.
EMNLP
Pedram Zaree, Md Abdullah Al Mamun, Quazi Mishkatul Alam, Yue Dong, Ihsen Alouani, Nael B. Abu-Ghazaleh
2025 J jnl
Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment.
CoRR
Pedram Zaree, Md Abdullah Al Mamun, Quazi Mishkatul Alam, Yue Dong, Ihsen Alouani, Nael B. Abu-Ghazaleh
2025 J jnl
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities.
CoRR
Jarvis Haupt, Qin Lu, Yanning Shen, Jia Chen, Yue Dong, Dan McCreary, Mehmet Akçakaya, Georgios B. Giannakis
2025 — conf
ExpertGenQA: Open-ended QA generation in Specialized Domains.
EMNLP (Findings)
Haz Sameen Shahgir, Chansong Lim, Jia Chen, Evangelos E. Papalexakis, Yue Dong
2025 J jnl
ExpertGenQA: Open-ended QA generation in Specialized Domains.
CoRR
Haz Sameen Shahgir, Chansong Lim, Jia Chen, Evangelos E. Papalexakis, Yue Dong
2025 — conf
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models.
EMNLP (Findings)
Trishna Chakraborty, Udita Ghosh, Xiaopan Zhang, Fahim Faisal Niloy, Yue Dong, Jiachen Li, Amit Roy-Chowdhury, Chengyu Song
2025 J jnl
HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models.
CoRR
Trishna Chakraborty, Udita Ghosh, Xiaopan Zhang, Fahim Faisal Niloy, Yue Dong, Jiachen Li, Amit K. Roy-Chowdhury, Chengyu Song
2025 J jnl
Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models.
CoRR
Yu Fu, Haz Sameen Shahgir, Hui Liu, Xianfeng Tang, Qi He, Yue Dong
2025 J jnl
Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness.
CoRR
Erfan Shayegani, Keegan Hines, Yue Dong, Nael B. Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet
2025 A* conf
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner.
ICRA
Xiaopan Zhang, Hao Qin, Fuquan Wang, Yue Dong, Jiachen Li
2025 A* conf
Layer-wise Alignment: Examining Safety Alignment Across Image Encoder Layers in Vision Language Models.
ICML
Saketh Bachu, Erfan Shayegani, Rohit Lal, Trishna Chakraborty, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit Roy-Chowdhury
2025 J jnl
Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots.
CoRR
Erfan Shayegani, G. M. Shahariar, Sara Abdali, Lei Yu, Nael B. Abu-Ghazaleh, Yue Dong
2025 A* conf
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning.
ICLR
Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao
2025 — conf
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models.
PAKDD (7)
Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, Evangelos E. Papalexakis
2025 J jnl
VIKI: Systematic Cross-Platform Profile Inference of Online Users.
CoRR
Ben Treves, Emiliano De Cristofaro, Yue Dong, Michalis Faloutsos
2025 — conf
VIKI: Systematic Cross-Platform Profile Inference of Tech Users.
WebSci
Ben Treves, Emiliano De Cristofaro, Yue Dong, Michalis Faloutsos
2024 — conf
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation.
EMNLP (Findings)
G. M. Shahariar, Jia Chen, Jiachen Li, Yue Dong
2024 J jnl
Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation.
CoRR
G. M. Shahariar, Jia Chen, Jiachen Li, Yue Dong
2024 — conf
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks.
ACL (Findings)
Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong
2024 — conf
Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation.
ACL (Findings)
Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
2024 — conf
Can Textual Unlearning Solve Cross-Modality Safety Alignment?
EMNLP (Findings)
Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael B. Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song
2024 J jnl
Cross-Modal Safety Alignment: Is textual unlearning all you need?
CoRR
Trishna Chakraborty, Erfan Shayegani, Zikui Cai, Nael B. Abu-Ghazaleh, M. Salman Asif, Yue Dong, Amit K. Roy-Chowdhury, Chengyu Song
2024 J jnl
Cross-Task Defense: Instruction-Tuning LLMs for Content Safety.
CoRR
Yu Fu, Wen Xiao, Jia Chen, Jiachen Li, Evangelos E. Papalexakis, Aichi Chien, Yue Dong
2024 — conf
EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models.
ACL (Findings)
Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis
2024 J jnl
EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models.
CoRR
Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis
2024 A conf
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval.
CIKM
Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie
2024 J jnl
How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval.
CoRR
Fengran Mo, Longxiang Zhao, Kaiyu Huang, Yue Dong, Degen Huang, Jian-Yun Nie
2024 J jnl
IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models.
CoRR
Haz Sameen Shahgir, Khondker Salman Sayeed, Abhik Bhattacharjee, Wasi Uddin Ahmad, Yue Dong, Rifat Shahriyar
2024 A* conf
Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models.
ICLR
Erfan Shayegani, Yue Dong, Nael B. Abu-Ghazaleh
2024 J jnl
LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner.
CoRR
Xiaopan Zhang, Hao Qin, Fuquan Wang, Yue Dong, Jiachen Li
2024 J jnl
Mechanisms of non-factual hallucinations in language models.
CoRR
Lei Yu, Meng Cao, Jackie Chi Kit Cheung, Yue Dong
2024 — conf
Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations.
EMNLP (Findings)
Lei Yu, Meng Cao, Jackie C. K. Cheung, Yue Dong
2024 J jnl
Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning.
CoRR
Yu Fu, Zefan Cai, Abedelkadir Asi, Wayne Xiong, Yue Dong, Wen Xiao
2024 — conf
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering.
ACL (Findings)
Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis
2024 J jnl
PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering.
CoRR
Jannat Ara Meem, Muhammad Shihab Rashid, Yue Dong, Vagelis Hristidis
2024 J jnl
Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources.
CoRR
Muhammad Shihab Rashid, Jannat Ara Meem, Yue Dong, Vagelis Hristidis
2024 J jnl
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling.
CoRR
Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao
2024 — conf
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack.
ACL (1)
Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong
2024 J jnl
Source-Free Domain Adaptation for Question Answering with Masked Self-training.
Trans. Assoc. Comput. Linguistics
Maxwell J. Yin, Boyu Wang, Yue Dong, Charles Ling
2024 J jnl
TRAWL: Tensor Reduced and Approximated Weights for Large Language Models.
CoRR
Yiran Luo, Het Patel, Yu Fu, Dawon Ahn, Jia Chen, Yue Dong, Evangelos E. Papalexakis
2024 J jnl
Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study.
CoRR
Yufei Li, Simin Chen, Yanghong Guo, Wei Yang, Yue Dong, Cong Liu
2024 J jnl
Unfair Alignment: Examining Safety Alignment Across Vision Encoder Layers in Vision-Language Models.
CoRR
Saketh Bachu, Erfan Shayegani, Trishna Chakraborty, Rohit Lal, Arindam Dutta, Chengyu Song, Yue Dong, Nael B. Abu-Ghazaleh, Amit K. Roy-Chowdhury
2024 — conf
Vulnerabilities of Large Language Models to Adversarial Attacks.
ACL (5)
Yu Fu, Erfan Shayegan, Md Abdullah Al Mamun, Pedram Zaree, Nael B. Abu-Ghazaleh, Yue Dong
2024 A* conf
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy.
AAAI
Yu Fu, Deyi Xiong, Yue Dong
2023 J jnl
Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks.
CoRR
Haz Sameen Shahgir, Xianghao Kong, Greg Ver Steeg, Yue Dong
2023 A* conf
Fast Text Generation with Text-Editing Models.
KDD
Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
2023 — conf
Inverse Reinforcement Learning for Text Summarization.
EMNLP (Findings)
Yu Fu, Deyi Xiong, Yue Dong
2023 J jnl
Learning with Rejection for Abstractive Text Summarization.
CoRR
Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung
2023 J jnl
Plug and Pray: Exploiting off-the-shelf components of Multi-Modal Models.
CoRR
Erfan Shayegani, Yue Dong, Nael B. Abu-Ghazaleh
2023 J jnl
Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack.
CoRR
Yu Fu, Yufei Li, Wen Xiao, Cong Liu, Yue Dong
2023 J jnl
Subtle Misogyny Detection and Mitigation: An Expert-Annotated Dataset.
CoRR
Brooklyn Sheppard, Anna Richter, Allison Cohen, Elizabeth Allyn Smith, Tamara Kneese, Carolyne Pelletier, Ioana Baldini, Yue Dong
2023 J jnl
Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks.
CoRR
Erfan Shayegani, Md Abdullah Al Mamun, Yu Fu, Pedram Zaree, Yue Dong, Nael B. Abu-Ghazaleh
2023 J jnl
Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy.
CoRR
Yu Fu, Deyi Xiong, Yue Dong
2022 — conf
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization.
EMNLP (Findings)
Yue Dong, John Wieting, Pat Verga
2022 J jnl
Faithful to the Document or to the World? Mitigating Hallucinations via Entity-linked Knowledge in Abstractive Summarization.
CoRR
Yue Dong, John Wieting, Pat Verga
2022 — conf
Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization.
ACL (1)
Meng Cao, Yue Dong, Jackie Chi Kit Cheung
2022 J jnl
Inverse Reinforcement Learning for Text Summarization.
CoRR
Yu Fu, Deyi Xiong, Yue Dong
2022 A* conf
Learning with Rejection for Abstractive Text Summarization.
EMNLP
Meng Cao, Yue Dong, Jingyi He, Jackie Chi Kit Cheung
2022 J jnl
Source-Free Domain Adaptation for Question Answering with Masked Self-training.
CoRR
Maxwell J. Yin, Boyu Wang, Yue Dong, Charles Ling
2022 J jnl
Text Generation with Text-Editing Models.
CoRR
Eric Malmi, Yue Dong, Jonathan Mallinson, Aleksandr Chuklin, Jakub Adámek, Daniil Mirylenka, Felix Stahlberg, Sebastian Krause, Shankar Kumar, Aliaksei Severyn
2021 — conf
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents.
ACL/IJCNLP (2)
Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
2021 J jnl
Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents.
CoRR
Rui Meng, Khushboo Thaker, Lei Zhang, Yue Dong, Xingdi Yuan, Tong Wang, Daqing He
2021 A conf
Discourse-Aware Unsupervised Summarization for Long Scientific Documents.
EACL
Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung
2021 J jnl
Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization.
CoRR
Meng Cao, Yue Dong, Jackie Chi Kit Cheung
2021 J jnl
On-the-Fly Attention Modularization for Neural Generation.
CoRR
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
2021 — conf
On-the-Fly Attention Modulation for Neural Generation.
ACL/IJCNLP (Findings)
Yue Dong, Chandra Bhagavatula, Ximing Lu, Jena D. Hwang, Antoine Bosselut, Jackie Chi Kit Cheung, Yejin Choi
2020 — conf
Factual Error Correction for Abstractive Summarization Models.
EMNLP (1)
Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung
2020 J jnl
Factual Error Correction for Abstractive Summarization Models.
CoRR
Meng Cao, Yue Dong, Jiapeng Wu, Jackie Chi Kit Cheung
2020 J jnl
HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization.
CoRR
Yue Dong, Andrei Romascanu, Jackie Chi Kit Cheung
2020 — conf
Multi-Fact Correction in Abstractive Text Summarization.
EMNLP (1)
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
2020 J jnl
Multi-Fact Correction in Abstractive Text Summarization.
CoRR
Yue Dong, Shuohang Wang, Zhe Gan, Yu Cheng, Jackie Chi Kit Cheung, Jingjing Liu
2020 — conf
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles.
EMNLP (1)
Yao Lu, Yue Dong, Laurent Charlin
2020 J jnl
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles.
CoRR
Yao Lu, Yue Dong, Laurent Charlin
2019 — conf
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
EMNLP/IJCNLP (1)
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis
2019 J jnl
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses.
CoRR
Matt Grenander, Yue Dong, Jackie Chi Kit Cheung, Annie Louis
2019 — conf
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing.
ACL (1)
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung
2019 J jnl
EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing.
CoRR
Yue Dong, Zichao Li, Mehdi Rezagholizadeh, Jackie Chi Kit Cheung
2019 A* conf
Learning Multi-Task Communication with Message Passing for Sequence Learning.
AAAI
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung
2018 A* conf
A Hierarchical Neural Attention-based Text Classifier.
EMNLP
Koustuv Sinha, Yue Dong, Jackie Chi Kit Cheung, Derek Ruths
2018 J jnl
A Survey on Neural Network-Based Summarization Methods.
CoRR
Yue Dong
2018 A* conf
BanditSum: Extractive Summarization as a Contextual Bandit.
EMNLP
Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung
2018 J jnl
BanditSum: Extractive Summarization as a Contextual Bandit.
CoRR
Yue Dong, Yikang Shen, Eric Crawford, Herke van Hoof, Jackie Chi Kit Cheung
2018 J jnl
Multi-task Learning over Graph Structures.
CoRR
Pengfei Liu, Jie Fu, Yue Dong, Xipeng Qiu, Jackie Chi Kit Cheung
2018 J jnl
Threaded ensembles of autoencoders for stream learning.
Comput. Intell.
Yue Dong, Nathalie Japkowicz
2016 — conf
Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning.
Canadian AI
Yue Dong, Nathalie Japkowicz