Yuping Wu

Orcid: 0000-0001-6399-9710

Affiliations:
  • University of Manchester, UK


According to our database1, Yuping Wu authored at least 12 papers between 2021 and 2024.

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

Timeline

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework.
CoRR, 2024

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction.
CoRR, 2024

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR, 2023

EDU-level Extractive Summarization with Varying Summary Lengths.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
UPANets: Learning from the Universal Pixel Attention Neworks.
Entropy, 2022

On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning?
CoRR, 2022

2021
UPANets: Learning from the Universal Pixel Attention Networks.
CoRR, 2021

Construction Cost Index Prediction: A Visibility Graph Network Method.
Proceedings of the International Joint Conference on Neural Networks, 2021


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