Yue Dong

Yue Dong

Assistant Professor

University of California, Riverside

Hi, I am Yue (/yoo-eh/) Dong, an assistant professor of computer science and engineering at the University of California, Riverside. I obtained my PhD in Computer Science at McGill University and Mila, supervised by Dr. Jackie Cheung. I was fortunate to intern at Google AI, AI2, Microsoft, and Noah’s Ark Lab during my PhD.

My research interests include natural language processing, machine learning, and artificial intelligence. I lead the Natural Language Processing group at UCR, which develops natural language understanding and generation systems that are controllable, trustworthy, and efficient.

Prospective Students (Updated on Oct., 2024): Thank you for your interest! I have 2 co-advised openings for self-motivated PhD candidates Fall 2025. You may apply directly through the official UC Riverside website. You may also fill out the UCRNLP PhD application form. Due to the volume of emails, I will only respond to inquiries that include a completed form submission. I currently do not have positions for master’s students.

PhD Thesis | Research Statement | 招生 |

Interests
  • Machine learning
  • Natural language processing
  • Natural language generation
  • Automatic summarization
  • Trustworthy and efficient AI
Education
  • PhD in Computer Science , 2022

    McGill University

  • MSc & BSc in Mathematics, 2016

    University of Ottawa

  • Clinical Medicine, 2009

    Xi'an Jiaotong University (西安交通大学)

Recent News

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Students

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Welcome to UCR NLP Lab!

Lab Members

Director

Yue Dong, assistant professor of computer science and engineering

PhD Students

Recent Publications

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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

Recent Services

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Lead-organizer

Co-organizer

Recent Talks

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Invited talks

  • [11/2023] Exploring Safety in Large Language Models YouTube 40:30 mins | News

    • 80th Annual Convention of Jiaotong University Alumni Association in SoCal (交通大学南加州校友会80周年庆), Los Angeles, CA, US
  • [11/04/2023] AI and Large Language Models

    • UCR Family Day/Homecoming seminar, Riverside CA, US
  • [08/2023] Fast Text Generation with Text-Editing Models

    • KDD Tutorial, Long Beach, CA, US

Recent Awards

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Fundings:

  • NSF CISE MSI, Co-PI, Jan. 2025- Dec. 2027

  • UTCRS, Co-PI, June 2024 - June 2025

  • Regents Faculty Fellowship grant, PI, July 2023 - June 2025

  • UCR OASIS Internal Funding Awards, PI, June 2023 - June 2024

Academic Awards:

  • Best Paper Award, Southern California NLP Symposium, 2023

  • Alexander Graham Bell Canada Graduate Scholarship - Doctoral (CGS D) - Accepted, 2018-2019

  • [ Best Paper Award ] at Canadian conference on artificial intelligence

  • NSERC Postgraduate Scholarship - Doctoral (PGS D) - Accepted, 2017-2018

  • FRQNT Doctoral Scholarship - Declined (rank first in all 2016 applicants in mathematics), 2016

  • FRQNT Master’s Research Scholarship, 2016

  • NSERC Canada Graduate Scholarships - CGS Master’s, 2015

  • University of Ottawa Excellence Scholarship, 2015 - 2016

  • NSERC Undergraduate Student Research Awards (USRA), Summer 2014

  • Dean’s Merit Scholarships - Faculty of Science, University of Ottawa, 2014

  • University of Ottawa Women’s Summer Research Award, Summer 2013

  • University of Ottawa Work/Study Research Award, Summer 2012

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