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Yu-Ping Wu
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2020 – today
- 2024
- [j2]Kai-Yu Wang, Wen-Hai Chih, Andreawan Honora, Yu-Ping Wu:
Investigating antecedents of brand value co-creation behaviors in social media based brand communities. Electron. Commer. Res. Appl. 64: 101359 (2024) - 2023
- [c5]Samuel Belkadi, Lifeng Han
, Yu-Ping 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
, Yu-Ping 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, Yu-Ping 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]Yu-Ping 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, Yu-Ping 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, Yu-Ping 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
, Yu-Ping Wu
, Jia-Yu Shang, Xiao-Jun Zeng:
UPANets: Learning from the Universal Pixel Attention Neworks. Entropy 24(9): 1243 (2022) - [i3]Yu-Ping 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]Yu-Ping 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, Yu-Ping 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, Yu-Ping Wu, Jia-Yu Shang, Mou-Chung Tseng, Xiao-Jun Zeng:
UPANets: Learning from the Universal Pixel Attention Networks. CoRR abs/2103.08640 (2021)
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