Threaded Ensembles of Supervised and Unsupervised Neural Networks for Stream Learning. - Yue Dong 002; Nathalie Japkowicz (Canadian AI, 2016)

BanditSum: Extractive Summarization as a Contextual Bandit. - Yue Dong 002; Yikang Shen; Eric Crawford; Herke van Hoof; Jackie Chi Kit Cheung (EMNLP, 2018)

A Hierarchical Neural Attention-based Text Classifier. - Koustuv Sinha; Yue Dong 002; Jackie Chi Kit Cheung; Derek Ruths (EMNLP, 2018)

Threaded ensembles of autoencoders for stream learning. - Yue Dong 002; Nathalie Japkowicz (Comput. Intell., 2018)

A Survey on Neural Network-Based Summarization Methods. - Yue Dong 002 (CoRR, 2018)

Multi-task Learning over Graph Structures. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (CoRR, 2018)

Learning Multi-Task Communication with Message Passing for Sequence Learning. - Pengfei Liu 003; Jie Fu 001; Yue Dong 002; Xipeng Qiu; Jackie Chi Kit Cheung (AAAI, 2019)

EditNTS: An Neural Programmer-Interpreter Model for Sentence Simplification through Explicit Editing. - Yue Dong 002; Zichao Li 003; Mehdi Rezagholizadeh; Jackie Chi Kit Cheung (ACL (1), 2019)

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses. - Matt Grenander; Yue Dong 002; Jackie Chi Kit Cheung; Annie Louis (EMNLP/IJCNLP (1), 2019)

Factual Error Correction for Abstractive Summarization Models. - Meng Cao 003; Yue Dong 002; Jiapeng Wu; Jackie Chi Kit Cheung (EMNLP (1), 2020)

Multi-Fact Correction in Abstractive Text Summarization. - Yue Dong 002; Shuohang Wang; Zhe Gan; Yu Cheng 001; Jackie Chi Kit Cheung; Jingjing Liu 001 (EMNLP (1), 2020)

Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles. - Yao Lu; Yue Dong 002; Laurent Charlin (EMNLP (1), 2020)

HipoRank: Incorporating Hierarchical and Positional Information into Graph-based Unsupervised Long Document Extractive Summarization. - Yue Dong 002; Andrei Romascanu; Jackie Chi Kit Cheung (CoRR, 2020)

On-the-Fly Attention Modulation for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (ACL/IJCNLP (Findings), 2021)

Bringing Structure into Summaries: a Faceted Summarization Dataset for Long Scientific Documents. - Rui Meng; Khushboo Thaker; Lei Zhang; Yue Dong 002; Xingdi Yuan; Tong Wang 012; Daqing He (ACL/IJCNLP (2), 2021)

Discourse-Aware Unsupervised Summarization for Long Scientific Documents. - Yue Dong 002; Andrei Romascanu; Jackie Chi Kit Cheung (EACL, 2021)

On-the-Fly Attention Modularization for Neural Generation. - Yue Dong 002; Chandra Bhagavatula; Ximing Lu; Jena D. Hwang; Antoine Bosselut; Jackie Chi Kit Cheung; Yejin Choi 001 (CoRR, 2021)

Inspecting the Factuality of Hallucinated Entities in Abstractive Summarization. - Meng Cao 003; Yue Dong 002; Jackie Chi Kit Cheung (CoRR, 2021)

Hallucinated but Factual! Inspecting the Factuality of Hallucinations in Abstractive Summarization. - Meng Cao 003; Yue Dong 002; Jackie Chi Kit Cheung (ACL (1), 2022)

Learning with Rejection for Abstractive Text Summarization. - Meng Cao 003; Yue Dong 002; Jingyi He; Jackie Chi Kit Cheung (EMNLP, 2022)

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization. - Yue Dong 002; John Wieting; Pat Verga (EMNLP (Findings), 2022)

Text Generation with Text-Editing Models. - Eric Malmi; Yue Dong 002; Jonathan Mallinson; Aleksandr Chuklin; Jakub Adámek; Daniil Mirylenka; Felix Stahlberg; Sebastian Krause; Shankar Kumar; Aliaksei Severyn (CoRR, 2022)

Inverse Reinforcement Learning for Text Summarization. - Yu Fu; Deyi Xiong; Yue Dong 002 (EMNLP (Findings), 2023)

Fast Text Generation with Text-Editing Models. - Eric Malmi; Yue Dong 002; Jonathan Mallinson; Aleksandr Chuklin; Jakub Adámek; Daniil Mirylenka; Felix Stahlberg; Sebastian Krause; Shankar Kumar; Aliaksei Severyn (KDD, 2023)

Plug and Pray: Exploiting off-the-shelf components of Multi-Modal Models. - Erfan Shayegani; Yue Dong 002; Nael B. Abu-Ghazaleh (CoRR, 2023)

Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks. - Erfan Shayegani; Md Abdullah Al Mamun; Yu Fu; Pedram Zaree; Yue Dong 002; Nael B. Abu-Ghazaleh (CoRR, 2023)

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 002 (CoRR, 2023)

Watermarking Conditional Text Generation for AI Detection: Unveiling Challenges and a Semantic-Aware Watermark Remedy. - Yu Fu; Deyi Xiong; Yue Dong 002 (AAAI, 2024)

Safety Alignment in NLP Tasks: Weakly Aligned Summarization as an In-Context Attack. - Yu Fu; Yufei Li 001; Wen Xiao; Cong Liu 005; Yue Dong 002 (ACL (1), 2024)

PAT-Questions: A Self-Updating Benchmark for Present-Anchored Temporal Question-Answering. - Jannat Ara Meem; Muhammad Shihab Rashid; Yue Dong 002; Vagelis Hristidis (ACL (Findings), 2024)

EcoRank: Budget-Constrained Text Re-ranking Using Large Language Models. - Muhammad Shihab Rashid; Jannat Ara Meem; Yue Dong 002; Vagelis Hristidis (ACL (Findings), 2024)

Asymmetric Bias in Text-to-Image Generation with Adversarial Attacks. - Haz Sameen Shahgir; Xianghao Kong; Greg Ver Steeg; Yue Dong 002 (ACL (Findings), 2024)

Biasly: An Expert-Annotated Dataset for Subtle Misogyny Detection and Mitigation. - Brooklyn Sheppard; Anna Richter; Allison Cohen; Elizabeth Allyn Smith; Tamara Kneese; Carolyne Pelletier; Ioana Baldini; Yue Dong 002 (ACL (Findings), 2024)

How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval. - Fengran Mo; Longxiang Zhao; Kaiyu Huang; Yue Dong 002; Degen Huang; Jian-Yun Nie (CIKM, 2024)

Can Textual Unlearning Solve Cross-Modality Safety Alignment? - Trishna Chakraborty; Erfan Shayegani; Zikui Cai; Nael B. Abu-Ghazaleh; M. Salman Asif; Yue Dong 002; Amit K. Roy-Chowdhury; Chengyu Song (EMNLP (Findings), 2024)

Adversarial Attacks on Parts of Speech: An Empirical Study in Text-to-Image Generation. - G. M. Shahariar; Jia Chen 002; Jiachen Li; Yue Dong 002 (EMNLP (Findings), 2024)

Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations. - Lei Yu 001; Meng Cao 003; Jackie C. K. Cheung; Yue Dong 002 (EMNLP (Findings), 2024)

Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal Language Models. - Erfan Shayegani; Yue Dong 002; Nael B. Abu-Ghazaleh (ICLR, 2024)

Uncertainty Awareness of Large Language Models Under Code Distribution Shifts: A Benchmark Study. - Yufei Li 001; Simin Chen; Yanghong Guo; Wei Yang 013; Yue Dong 002; Cong Liu 005 (CoRR, 2024)

IllusionVQA: A Challenging Optical Illusion Dataset for Vision Language Models. - Haz Sameen Shahgir; Khondker Salman Sayeed; Abhik Bhattacharjee; Wasi Uddin Ahmad; Yue Dong 002; Rifat Shahriyar (CoRR, 2024)

Mechanisms of non-factual hallucinations in language models. - Lei Yu 001; Meng Cao 003; Jackie Chi Kit Cheung; Yue Dong 002 (CoRR, 2024)

Cross-Task Defense: Instruction-Tuning LLMs for Content Safety. - Yu Fu; Wen Xiao; Jia Chen 002; Jiachen Li; Evangelos E. Papalexakis; Aichi Chien; Yue Dong 002 (CoRR, 2024)

PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. - Zefan Cai; Yichi Zhang; Bofei Gao; Yuliang Liu; Tianyu Liu 001; Keming Lu; Wayne Xiong; Yue Dong 002; Baobao Chang; Junjie Hu 001; Wen Xiao (CoRR, 2024)

Cross-Modal Safety Alignment: Is textual unlearning all you need? - Trishna Chakraborty; Erfan Shayegani; Zikui Cai; Nael B. Abu-Ghazaleh; M. Salman Asif; Yue Dong 002; Amit K. Roy-Chowdhury; Chengyu Song (CoRR, 2024)

Progressive Query Expansion for Retrieval Over Cost-constrained Data Sources. - Muhammad Shihab Rashid; Jannat Ara Meem; Yue Dong 002; Vagelis Hristidis (CoRR, 2024)

LaMMA-P: Generalizable Multi-Agent Long-Horizon Task Allocation and Planning with LM-Driven PDDL Planner. - Xiaopan Zhang; Hao Qin; Fuquan Wang; Yue Dong 002; Jiachen Li (CoRR, 2024)

Unfair Alignment: Examining Safety Alignment Across Vision Encoder Layers in Vision-Language Models. - Saketh Bachu; Erfan Shayegani; Trishna Chakraborty; Rohit Lal; Arindam Dutta; Chengyu Song; Yue Dong 002; Nael B. Abu-Ghazaleh; Amit K. Roy-Chowdhury (CoRR, 2024)

Source-Free Domain Adaptation for Question Answering with Masked Self-training. - Maxwell J. Yin; Boyu Wang 004; Yue Dong 002; Charles Ling 001 (Trans. Assoc. Comput. Linguistics, 2024)

Not All Heads Matter: A Head-Level KV Cache Compression Method with Integrated Retrieval and Reasoning. - Yu Fu; Zefan Cai; Abedelkadir Asi; Wayne Xiong; Yue Dong 002; Wen Xiao (ICLR, 2025)

TRAWL: Tensor Reduced and Approximated Weights for Large Language Models. - Yiran Luo; Het Patel; Yu Fu; Dawon Ahn; Jia Chen 002; Yue Dong 002; Evangelos E. Papalexakis (PAKDD (7), 2025)

VIKI: Systematic Cross-Platform Profile Inference of Tech Users. - Ben Treves; Emiliano De Cristofaro; Yue Dong 002; Michalis Faloutsos (WebSci, 2025)

Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment. - Pedram Zaree; Md Abdullah Al Mamun; Quazi Mishkatul Alam; Yue Dong 002; Ihsen Alouani; Nael B. Abu-Ghazaleh (CoRR, 2025)

ExpertGenQA: Open-ended QA generation in Specialized Domains. - Haz Sameen Shahgir; Chansong Lim; Jia Chen 002; Evangelos E. Papalexakis; Yue Dong 002 (CoRR, 2025)

VIKI: Systematic Cross-Platform Profile Inference of Online Users. - Ben Treves; Emiliano De Cristofaro; Yue Dong 002; Michalis Faloutsos (CoRR, 2025)

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots. - Erfan Shayegani; G. M. Shahariar; Sara Abdali; Lei Yu 001; Nael B. Abu-Ghazaleh; Yue Dong 002 (CoRR, 2025)

Harnessing the Unseen: The Hidden Influence of Intrinsic Knowledge in Long-Context Language Models. - Yu Fu; Haz Sameen Shahgir; Hui Liu; Xianfeng Tang; Qi He; Yue Dong 002 (CoRR, 2025)

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion. - Abrar Rahman Abir; Haz Sameen Shahgir; Md Rownok Zahan Ratul; Md Toki Tahmid; Greg Ver Steeg; Yue Dong 002 (CoRR, 2025)

HEAL: An Empirical Study on Hallucinations in Embodied Agents Driven by Large Language Models. - Trishna Chakraborty; Udita Ghosh; Xiaopan Zhang; Fahim Faisal Niloy; Yue Dong 002; Jiachen Li; Amit K. Roy-Chowdhury; Chengyu Song (CoRR, 2025)