Jiaying Lu

Orcid: 0000-0001-9052-6951

Affiliations:
  • Emory University, Atlanta, GA, USA


According to our database1, Jiaying Lu authored at least 18 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Efficient Two-Stage Gaussian Process Regression Via Automatic Kernel Search and Subsampling.
CoRR, 2024

LogicPrpBank: A Corpus for Logical Implication and Equivalence.
CoRR, 2024

Evaluation of General Large Language Models in Contextually Assessing Semantic Concepts Extracted from Adult Critical Care Electronic Health Record Notes.
CoRR, 2024

Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
CoRR, 2024

Uncertainty-Aware Pre-Trained Foundation Models for Patient Risk Prediction via Gaussian Process.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

PromptLink: Leveraging Large Language Models for Cross-Source Biomedical Concept Linking.
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.
IEEE Trans. Knowl. Data Eng., October, 2023

Evaluation and Mitigation of Agnosia in Multimodal Large Language Models.
CoRR, 2023

A Survey on Knowledge Graphs for Healthcare: Resources, Applications, and Promises.
CoRR, 2023

Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023

HiPrompt: Few-Shot Biomedical Knowledge Fusion via Hierarchy-Oriented Prompting.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Closed-book Question Generation via Contrastive Learning.
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.
Proceedings of the Advances in Information Retrieval, 2022

Good, Better, Best: Textual Distractors Generation for Multiple-Choice Visual Question Answering via Reinforcement Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

Open-World Taxonomy and Knowledge Graph Co-Learning.
Proceedings of the 4th Conference on Automated Knowledge Base Construction, 2022

2021
Evaluation of Unsupervised Entity and Event Salience Estimation.
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.
CoRR, 2019


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