Xiangjue Dong

Third-year Ph.D. Student
Department of Computer Science and Engineering
Texas A&M University
[xj.dong] 'at' tamu.edu

Research: My research interests lie in Large Language Models (e.g., in-context learning, parameter-efficient fine-tuning) and Trustworthy NLP (e.g., adversarial attacks, bias, hallucinations, safety).

About me: I am a Ph.D. student in the Department of Computer Science & Engineering at Texas A&M University, advised by Prof. James Caverlee. Before that, I earned two M.S. degrees: one in Computer Science from Emory University, advised by Prof. Jinho D. Choi and one with Computational Science and Engineering Concentration from University of Illinois at Urbana-Champaign.

Selected Publications

* indicates equal contribution.
See also my publications at Google Scholar.

[Preprint] DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models.
Yibo Wang^*, Xiangjue Dong^*, James Caverlee, Philip S. Yu.
[SoLaR@NeurIPS 2023] Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation.
Xiangjue Dong^*, Yibo Wang^*, Philip S. Yu, James Caverlee.
Socially Responsible Language Modelling Research (SoLaR) 2023: NeurIPS 2023.
[EMNLP 2023 Findings: Long] Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.
Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee.
Findings of the Association for Computational Linguistics: EMNLP 2023.
[ACL 2023 Findings: Long] PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.
Xiangjue Dong, Yun He^*, Ziwei Zhu^*, James Caverlee.
Findings of the Association for Computational Linguistics: ACL 2023.
[EACL 2023: Long Oral] Closed-book Question Generation via Contrastive Learning.
Xiangjue Dong, Jiaying Lu^*, Jianling Wang^*, James Caverlee.
The 17th Conference of the European Chapter of the Association for Computational Linguistics.
[Alexa Prize 2021] Howdy Y'all: An Alexa TaskBot.
Majid Alfifi, Xiangjue Dong, Timo Feldman, Allen Lin, Karthic Madanagopal, Aditya Pethe, Maria Teleki, Zhuoer Wang, Ziwei Zhu, James Caverlee.
1st Proceedings of Alexa Prize TaskBot, 2022.
[TKDE 2023] Weakly Supervised Concept Map Generation through Task-Guided Graph Translation.
Jiaying Lu, Xiangjue Dong, Carl J. Yang.
Transactions on Knowledge and Data Engineering.
[Alexa Prize 2019] Emora: An Inquisitive Social Chatbot Who Cares For You. [1st Place Winner]
Sarah E. Finch, James D. Finch, Ali Ahmadvand, Ingyu (Jason) Choi, Xiangjue Dong, Ruixiang Qi, Harshita Sahijwani, Sergey Volokhin, Zihan Wang, Zihao Wang, and Jinho D. Choi.
3rd Proceedings of Alexa Prize, 2020.
[FigLang@ACL 2020: Short] Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media. [2nd Place Winner]
Xiangjue Dong, Changmao Li, and Jinho D. Choi.
In Proceedings of the ACL Workshop on Figurative Language Processing, 2020.

Teaching

Graduate Teaching Assistant: CS670, Information Storage and Retrieval, TAMU, Spring 2023
Graduate Teaching Assistant: CS170, Introduction to Computer Science, Emory, Summer 2020

Service

Program Committee Member/Reviewer: NeurIPS 2023 (SoLaR, R0-FoMo, Datasets and Benchmarks), EMNLP ('23, '22), ACL'23, AAAI'23, ACL ARR ('23, '22), COLING'22 (Secondary Reviewer), FigLang-ACL'20, SemEval'20, ACL'20 (External Reviewer), COLING'20 (External Reviewer).

Selected Awards

CSE Department Travel Grant, 2023
Amazon Alexa Prize 2020 Award to the 1st-place winner, 2020
Laney Graduate Scholarship, 2019, 2020
National Scholarship
Outstanding Graduate of Beijing
Outstanding Graduation Thesis
Undergraduate Comprehensive First-Class Scholarship, Subject Contest Scholarship, three years
Outstanding Student Award, Academic Excellent Award, three years

Miscellaneous

I usually boulder and run. The goal for the next few years is BQ.