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ORCIDYuping Wu 0001
Person information
- affiliation: University of Manchester, UK
Other persons with the same name
- Yuping Wu — disambiguation page
- Yuping Wu 0002
![[0000-0002-4407-1412]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4407-1412")
— University of Science and Technology of China, Hefei, China (and 1 more) - Yuping Wu 0003 — ChongQing University, Chongqing, China
- Yuping Wu 0004 — Hubei University of Economics, Hubei, China
- Yuping Wu 0005 — Henan Polytechnic University, Jiaozuo, Henan, China
Other persons with a similar name
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2020 – today
- 2024
[c6]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. ACL (Findings) 2024: 133-150- [i8]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. CoRR abs/2406.03151 (2024) - [i7]Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen, Hao Li, Yuping Wu, Kuluhan Binici, Stefan Winkler:
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction. CoRR abs/2408.12249 (2024) - [i6]Yuping Wu, Hao Li, Hongbo Zhu, Goran Nenadic, Xiao-Jun Zeng:
Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework. CoRR abs/2409.11827 (2024) - 2023
- [c5]Samuel Belkadi, Lifeng Han, Yuping Wu, Goran Nenadic:
Exploring the Value of Pre-trained Language Models for Clinical Named Entity Recognition. IEEE Big Data 2023: 3660-3669 - [c4]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
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. BioNLP@ACL 2023: 503-509 - [c3]Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CLEF (Working Notes) 2023: 1668-1679 - [c2]Yuping Wu, Ching-Hsun Tseng, Jia-Yu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng:
EDU-level Extractive Summarization with Varying Summary Lengths. EACL (Findings) 2023: 1610-1622 - [i5]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. CoRR abs/2306.02754 (2023) - [i4]Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CoRR abs/2307.02006 (2023) - 2022
- [j1]Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jia-Yu Shang, Xiao-Jun Zeng:
UPANets: Learning from the Universal Pixel Attention Neworks. Entropy 24(9): 1243 (2022) - [i3]Yuping Wu, Ching-Hsun Tseng, Jia-Yu Shang, Shengzhong Mao, Goran Nenadic, Xiao-Jun Zeng:
EDU-level Extractive Summarization with Varying Summary Lengths. CoRR abs/2210.04029 (2022) - [i2]Yuping Wu, Lifeng Han, Valerio Antonini, Goran Nenadic:
On Cross-Domain Pre-Trained Language Models for Clinical Text Mining: How Do They Perform on Data-Constrained Fine-Tuning? CoRR abs/2210.12770 (2022) - 2021
- [c1]Shengzhong Mao, Ching-Hsun Tseng, Jia-Yu Shang, Yuping Wu, Xiao-Jun Zeng:
Construction Cost Index Prediction: A Visibility Graph Network Method. IJCNN 2021: 1-6 - [i1]Ching-Hsun Tseng, Shin-Jye Lee, Jia-Nan Feng, Shengzhong Mao, Yuping Wu, Jia-Yu Shang, Mou-Chung Tseng, Xiao-Jun Zeng:
UPANets: Learning from the Universal Pixel Attention Networks. CoRR abs/2103.08640 (2021)
Coauthor Index
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