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Yingya Li
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2020 – today
- 2024
- [j1]Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman:
Evaluating the ChatGPT family of models for biomedical reasoning and classification. J. Am. Medical Informatics Assoc. 31(4): 940-948 (2024) - [i3]Guangming Huang, Yunfei Long, Yingya Li, Giorgos Papanastasiou:
From explainable to interpretable deep learning for natural language processing in healthcare: how far from reality? CoRR abs/2403.11894 (2024) - 2023
- [c11]Lijing Wang, Yingya Li, Timothy A. Miller, Steven Bethard, Guergana Savova:
Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. ACL (1) 2023: 15746-15761 - [c10]Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych:
Measuring Pointwise \mathcalV-Usable Information In-Context-ly. EMNLP (Findings) 2023: 15739-15756 - [c9]Guangming Huang, Yunfei Long, Cunjin Luo, Yingya Li:
LIDA: Lexical-Based Imbalanced Data Augmentation for Content Moderation. PACLIC 2023: 59-69 - [c8]Yuheun Kim, Lu Guo, Bei Yu, Yingya Li:
Can ChatGPT Understand Causal Language in Science Claims? WASSA@ACL 2023: 379-389 - [i2]Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman:
Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification. CoRR abs/2304.02496 (2023) - [i1]Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych:
Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly. CoRR abs/2310.12300 (2023) - 2022
- [c7]Yingya Li, Bei Yu:
Advice Giving in Medical Research Literature. iConference (2) 2022: 261-272 - 2021
- [c6]Yingya Li, Jun Wang, Bei Yu:
Detecting Health Advice in Medical Research Literature. EMNLP (1) 2021: 6018-6029 - 2020
- [c5]Bei Yu, Jun Wang, Lu Guo, Yingya Li:
Measuring Correlation-to-Causation Exaggeration in Press Releases. COLING 2020: 4860-4872
2010 – 2019
- 2019
- [c4]Bei Yu, Yingya Li, Jun Wang:
Detecting Causal Language Use in Science Findings. EMNLP/IJCNLP (1) 2019: 4663-4673 - [c3]Yingya Li, Bei Yu:
Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts. iConference 2019: 679-689 - 2017
- [c2]Yingya Li, Jieke Zhang, Bei Yu:
An NLP Analysis of Exaggerated Claims in Science News. NLPmJ@EMNLP 2017: 106-111 - [c1]Sam Jackson, Feifei Zhang, Olga Boichak, Lauren Bryant, Yingya Li, Jeff Hemsley, Jennifer Stromer-Galley, Bryan C. Semaan, Nancy McCracken:
Identifying Political Topics in Social Media Messages: A Lexicon-Based Approach. SMSociety 2017: 12:1-12:10
Coauthor Index
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last updated on 2024-05-06 20:25 CEST by the dblp team
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