Jiaying Lu

According to our database, Jiaying Lu authored at least 19 papers between 2019 and 2024.

Collaborative distances:

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

2024

Measuring Spiritual Values and Bias of Large Language Models.

Songyuan Liu, Ziyang Zhang, Runze Yan, Wei Wu, Carl Yang, Jiaying Lu

CoRR, 2024

Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling.

Shifan Zhao, Jiaying Lu, Carl Ji Yang, Edmond Chow, Yuanzhe Xi

CoRR, 2024

LogicPrpBank: A Corpus for Logical Implication and Equivalence.

Zhexiong Liu, Jing Zhang, Jiaying Lu, Wenjing Ma, Joyce C. Ho

CoRR, 2024

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.

Darren Liu, Cheng Ding, Delgersuren Bold, Monique Bouvier, Jiaying Lu, Benjamin Shickel, Craig S. Jabaley, Wenhui Zhang, Soojin Park, Michael J. Young, Mark S. Wainwright, Gilles Clermont, Parisa Rashidi, Eric S. Rosenthal, Laurie Dimisko, Ran Xiao, Joo Heung Yoon, Carl Yang, Xiao Hu

CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao

CoRR, 2024

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process.

Jiaying Lu, Shifan Zhao, Wenjing Ma, Hui Shao, Xiao Hu, Yuanzhe Xi, Carl Yang

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

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.

Yuzhang Xie, Jiaying Lu, Joyce C. Ho, Fadi B. Nahab, Xiao Hu, Carl Yang

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 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

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models.

Jiaying Lu, Jinmeng Rao, Kezhen Chen, Xiaoyuan Guo, Yawen Zhang, Baochen Sun, Carl Yang, Jie Yang

CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.

Hejie Cui, Jiaying Lu, Shiyu Wang, Ran Xu, Wenjing Ma, Shaojun Yu, Yue Yu, Xuan Kan, Chen Ling, Joyce C. Ho, Fei Wang, Carl Yang

CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.

Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao

CoRR, 2023

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting.

Jiaying Lu, Jiaming Shen, Bo Xiong, Wenjing Ma, Steffen Staab, Carl Yang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

MuG: A Multimodal Classification Benchmark on Game Data with Tabular, Textual, and Visual Fields.

Jiaying Lu, Yongchen Qian, Shifan Zhao, Yuanzhe Xi, Carl Yang

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

2022

How Can Graph Neural Networks Help Document Retrieval: A Case Study on CORD19 with Concept Map Generation.

Hejie Cui, Jiaying Lu, Yao Ge, Carl Yang

Proceedings of the Advances in Information Retrieval, 2022

Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning.

Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Open-World Taxonomy and Knowledge Graph Co-Learning.

Jiaying Lu, Carl Yang

Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021

Evaluation of Unsupervised Entity and Event Salience Estimation.

Jiaying Lu, Jinho D. Choi

Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2019

Good, Better, Best: Textual Distractors Generation for Multi-Choice VQA via Policy Gradient.

Jiaying Lu, Xin Ye, Yi Ren, Yezhou Yang

CoRR, 2019