Benchmarking of Transformer-Based Pre-Trained Models on Social Media Text Classification Datasets. - Yuting Guo; Xiangjue Dong; Mohammed Ali Al-Garadi; Abeed Sarker; Cécile Paris; Diego Mollá Aliod (ALTA, 2020)

Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media. - Xiangjue Dong; Changmao Li; Jinho D. Choi (Fig-Lang@ACL, 2020)

XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders. - Xiangjue Dong; Jinho D. Choi (SemEval@COLING, 2020)

Emora: An Inquisitive Social Chatbot Who Cares For You. - Sarah E. Finch; James D. Finch; Ali Ahmadvand; Jason Ingyu Choi; Xiangjue Dong; Ruixiang Qi; Harshita Sahijwani; Sergey Volokhin; Zihan Wang; Zihao Wang; Jinho D. Choi (CoRR, 2020)

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts. - Xiangjue Dong; Yun He 001; Ziwei Zhu 001; James Caverlee (ACL (Findings), 2023)

Closed-book Question Generation via Contrastive Learning. - Xiangjue Dong; Jiaying Lu 001; Jianling Wang; James Caverlee (EACL, 2023)

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. - Xiangjue Dong; Ziwei Zhu 001; Zhuoer Wang; Maria Teleki; James Caverlee (EMNLP (Findings), 2023)

Co$^2$PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning. - Xiangjue Dong; Ziwei Zhu 001; Zhuoer Wang; Maria Teleki; James Caverlee (CoRR, 2023)

Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation. - Xiangjue Dong; Yibo Wang 001; Philip S. Yu; James Caverlee (CoRR, 2023)

DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models. - Yibo Wang 001; Xiangjue Dong; James Caverlee; Philip S. Yu (CoRR, 2023)

Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation. - Jiaying Lu 001; Xiangjue Dong; Carl Yang 001 (IEEE Trans. Knowl. Data Eng., 2023)

DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation. - Rohan Chaudhury; Maria Teleki; Xiangjue Dong; James Caverlee (LREC/COLING, 2024)

Quantifying the Impact of Disfluency on Spoken Content Summarization. - Maria Teleki; Xiangjue Dong; James Caverlee (LREC/COLING, 2024)

The Neglected Tails in Vision-Language Models. - Shubham Parashar; Zhiqiu Lin; Tian Liu 006; Xiangjue Dong; Yanan Li; Deva Ramanan; James Caverlee; Shu Kong (CVPR, 2024)

DA³: A Distribution-Aware Adversarial Attack against Language Models. - Yibo Wang 001; Xiangjue Dong; James Caverlee; Philip S. Yu (EMNLP, 2024)

Comparing ASR Systems in the Context of Speech Disfluencies. - Maria Teleki; Xiangjue Dong; Soohwan Kim; James Caverlee (INTERSPEECH, 2024)

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks. - Haoran Liu; Bokun Wang; Jianling Wang; Xiangjue Dong; Tianbao Yang; James Caverlee (WWW (Companion Volume), 2024)

Disclosure and Mitigation of Gender Bias in LLMs. - Xiangjue Dong; Yibo Wang 001; Philip S. Yu; James Caverlee (CoRR, 2024)

A Survey on LLM Inference-Time Self-Improvement. - Xiangjue Dong; Maria Teleki; James Caverlee (CoRR, 2024)

Masculine Defaults via Gendered Discourse in Podcasts and Large Language Models. - Maria Teleki; Xiangjue Dong; Haoran Liu; James Caverlee (ICWSM, 2025)

ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning. - Millennium Bismay; Xiangjue Dong; James Caverlee (NAACL (Findings), 2025)

DisastIR: A Comprehensive Information Retrieval Benchmark for Disaster Management. - Kai Yin; Xiangjue Dong; Chengkai Liu; Lipai Huang; Yiming Xiao; Zhewei Liu; Ali Mostafavi; James Caverlee (CoRR, 2025)