An NLP Analysis of Exaggerated Claims in Science News. - Yingya Li; Jieke Zhang; Bei Yu 002 (NLPmJ@EMNLP, 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 (SMSociety, 2017)

Detecting Causal Language Use in Science Findings. - Bei Yu 002; Yingya Li; Jun Wang 142 (EMNLP/IJCNLP (1), 2019)

Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts. - Yingya Li; Bei Yu 002 (iConference, 2019)

Measuring Correlation-to-Causation Exaggeration in Press Releases. - Bei Yu 002; Jun Wang 142; Lu Guo; Yingya Li (COLING, 2020)

Detecting Health Advice in Medical Research Literature. - Yingya Li; Jun Wang 142; Bei Yu 002 (EMNLP (1), 2021)

Advice Giving in Medical Research Literature. - Yingya Li; Bei Yu 002 (iConference (2), 2022)

Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models. - Lijing Wang 001; Yingya Li; Timothy Miller 002; Steven Bethard; Guergana Savova (ACL (1), 2023)

Measuring Pointwise mathcalV-Usable Information In-Context-ly. - Sheng Lu; Shan Chen 004; Yingya Li; Danielle S. Bitterman; Guergana Savova; Iryna Gurevych (EMNLP (Findings), 2023)

LIDA: Lexical-Based Imbalanced Data Augmentation for Content Moderation. - Guangming Huang; Yunfei Long; Cunjin Luo; Yingya Li (PACLIC, 2023)

Can ChatGPT Understand Causal Language in Science Claims? - Yuheun Kim; Lu Guo; Bei Yu 002; Yingya Li (WASSA@ACL, 2023)

Evaluation of ChatGPT Family of Models for Biomedical Reasoning and Classification. - Shan Chen 004; Yingya Li; Sheng Lu; Hoang Van; Hugo J. W. L. Aerts; Guergana K. Savova; Danielle S. Bitterman (CoRR, 2023)

Measuring Pointwise $ mathcal{V}$-Usable Information In-Context-ly. - Sheng Lu; Shan Chen 004; Yingya Li; Danielle S. Bitterman; Guergana Savova; Iryna Gurevych (CoRR, 2023)

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)

Identifying Task Groupings for Multi-Task Learning Using Pointwise V-Usable Information. - Yingya Li; Timothy Miller 002; Steven Bethard; Guergana Savova (CoRR, 2024)

Evaluating the ChatGPT family of models for biomedical reasoning and classification. - Shan Chen 004; Yingya Li; Sheng Lu; Hoang Van; Hugo J. W. L. Aerts; Guergana K. Savova; Danielle S. Bitterman (J. Am. Medical Informatics Assoc., 2024)

WorldMedQA-V: a multilingual, multimodal medical examination dataset for multimodal language models evaluation. - João Matos; Shan Chen 004; Siena Placino; Yingya Li; Juan Carlos Climent Pardo; Daphna Idan; Takeshi Tohyama; David S. Restrepo; Luis Filipe Nakayama; Jose M. M. Pascual-Leone; Guergana K. Savova; Hugo J. W. L. Aerts; et al. (NAACL (Findings), 2025)