Yingya Li

According to our database, Yingya Li authored at least 17 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluating the ChatGPT family of models for biomedical reasoning and classification.

Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman

J. Am. Medical Informatics Assoc., 2024

Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information.

Yingya Li, Timothy A. Miller, Steven Bethard, Guergana Savova

CoRR, 2024

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation.

João Matos, Shan Chen, Siena Placino, Yingya Li, Juan Carlos Climent Pardo, Daphna Idan, Takeshi Tohyama, David Restrepo, Luis Filipe Nakayama, Jose M. M. Pascual-Leone, Guergana Savova, Hugo J. W. L. Aerts, Leo A. Celi, A. Ian Wong, Danielle S. Bitterman, Jack Gallifant

CoRR, 2024

From explainable to interpretable deep learning for natural language processing in healthcare: how far from reality?

Guangming Huang, Yunfei Long, Yingya Li, Giorgos Papanastasiou

CoRR, 2024

2023

Measuring Pointwise $\mathcal{V}$-Usable Information In-Context-ly.

Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych

CoRR, 2023

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification.

Shan Chen, Yingya Li, Sheng Lu, Hoang Van, Hugo J. W. L. Aerts, Guergana K. Savova, Danielle S. Bitterman

CoRR, 2023

Can ChatGPT Understand Causal Language in Science Claims?

Yuheun Kim, Lu Guo, Bei Yu, Yingya Li

Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, 2023

LIDA: Lexical-Based Imbalanced Data Augmentation for Content Moderation.

Guangming Huang, Yunfei Long, Cunjin Luo, Yingya Li

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Measuring Pointwise \mathcalV-Usable Information In-Context-ly.

Sheng Lu, Shan Chen, Yingya Li, Danielle S. Bitterman, Guergana Savova, Iryna Gurevych

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models.

Lijing Wang, Yingya Li, Timothy A. Miller, Steven Bethard, Guergana Savova

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Advice Giving in Medical Research Literature.

Yingya Li, Bei Yu

Proceedings of the Information for a Better World: Shaping the Global Future - 17th International Conference, iConference 2022, Virtual Event, February 28, 2022

2021

Detecting Health Advice in Medical Research Literature.

Yingya Li, Jun Wang, Bei Yu

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Measuring Correlation-to-Causation Exaggeration in Press Releases.

Bei Yu, Jun Wang, Lu Guo, Yingya Li

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts.

Yingya Li, Bei Yu

Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

Detecting Causal Language Use in Science Findings.

Bei Yu, Yingya Li, Jun Wang

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2017

Identifying Political Topics in Social Media Messages: A Lexicon-Based Approach.

Sam Jackson, Feifei Zhang, Olga Boichak, Lauren Bryant, Yingya Li, Jeff Hemsley, Jennifer Stromer-Galley, Bryan C. Semaan, Nancy McCracken

Proceedings of the 8th International Conference on Social Media & Society, 2017

An NLP Analysis of Exaggerated Claims in Science News.

Yingya Li, Jieke Zhang, Bei Yu

Proceedings of the 2017 Workshop: Natural Language Processing meets Journalism, 2017