Xiangjue Dong

According to our database, Xiangjue Dong authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Survey on LLM Inference-Time Self-Improvement.

Xiangjue Dong, Maria Teleki, James Caverlee

CoRR, 2024

ReasoningRec: Bridging Personalized Recommendations and Human-Interpretable Explanations through LLM Reasoning.

Millennium Bismay, Xiangjue Dong, James Caverlee

CoRR, 2024

Disclosure and Mitigation of Gender Bias in LLMs.

Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee

CoRR, 2024

Everything Perturbed All at Once: Enabling Differentiable Graph Attacks.

Haoran Liu, Bokun Wang, Jianling Wang, Xiangjue Dong, Tianbao Yang, James Caverlee

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

DA³: A Distribution-Aware Adversarial Attack against Language Models.

Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

The Neglected Tails in Vision-Language Models.

Shubham Parashar, Zhiqiu Lin, Tian Liu, Xiangjue Dong, Yanan Li, Deva Ramanan, James Caverlee, Shu Kong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Quantifying the Impact of Disfluency on Spoken Content Summarization.

Maria Teleki, Xiangjue Dong, James Caverlee

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

DACL: Disfluency Augmented Curriculum Learning for Fluent Text Generation.

Rohan Chaudhury, Maria Teleki, Xiangjue Dong, James Caverlee

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Weakly Supervised Concept Map Generation Through Task-Guided Graph Translation.

Jiaying Lu, Xiangjue Dong, Carl Yang

IEEE Trans. Knowl. Data Eng., October, 2023

DALA: A Distribution-Aware LoRA-Based Adversarial Attack against Pre-trained Language Models.

Yibo Wang, Xiangjue Dong, James Caverlee, Philip S. Yu

CoRR, 2023

Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation.

Xiangjue Dong, Yibo Wang, Philip S. Yu, James Caverlee

CoRR, 2023

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

CoRR, 2023

Co²PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning.

Xiangjue Dong, Ziwei Zhu, Zhuoer Wang, Maria Teleki, James Caverlee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Closed-book Question Generation via Contrastive Learning.

Xiangjue Dong, Jiaying Lu, Jianling Wang, James Caverlee

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

PromptAttack: Probing Dialogue State Trackers with Adversarial Prompts.

Xiangjue Dong, Yun He, Ziwei Zhu, James Caverlee

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

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

XD at SemEval-2020 Task 12: Ensemble Approach to Offensive Language Identification in Social Media Using Transformer Encoders.

Xiangjue Dong, Jinho D. Choi

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Transformer-based Context-aware Sarcasm Detection in Conversation Threads from Social Media.

Xiangjue Dong, Changmao Li, Jinho D. Choi

Proceedings of the Second Workshop on Figurative Language Processing, 2020