| Detecting causal language use in science findings B Yu, Y Li, J Wang Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 48 | 2019 |
| An NLP analysis of exaggerated claims in science news Y Li, J Zhang, B Yu Proceedings of the 2017 EMNLP Workshop: Natural Language Processing meets …, 2017 | 26 | 2017 |
| Evaluating the ChatGPT family of models for biomedical reasoning and classification S Chen, Y Li, S Lu, H Van, HJWL Aerts, GK Savova, DS Bitterman Journal of the American Medical Informatics Association 31 (4), 940-948, 2024 | 19 | 2024 |
| Measuring Correlation-to-Causation Exaggeration in Press Releases B Yu, J Wang, L Guo, Y Li Proceedings of the 28th International Conference on Computational …, 2020 | 17 | 2020 |
| Identifying Political Topics in Social Media Messages: A Lexicon-Based Approach S Jackson, F Zhang, O Boichak, L Bryant, Y Li, J Hemsley, ... Proceedings of the 8th International Conference on Social Media & Society, 1-10, 2017 | 12 | 2017 |
| Detecting Health Advice in Medical Research Literature Y Li, J Wang, B Yu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 9 | 2021 |
| Can ChatGPT Understand Causal Language in Science Claims? Y Kim, L Guo, B Yu, Y Li Proceedings of the 13th Workshop on Computational Approaches to Subjectivity …, 2023 | 4 | 2023 |
| Advice giving in medical research literature Y Li, B Yu International Conference on Information, 261-272, 2022 | 2 | 2022 |
| Measuring Pointwise 𝒱-Usable Information In-Context-ly S Lu, S Chen, Y Li, D Bitterman, G Savova, I Gurevych Findings of the Association for Computational Linguistics: EMNLP 2023, 15739 …, 2023 | 1 | 2023 |
| LIDA: Lexical-Based Imbalanced Data Augmentation for Content Moderation G Huang, Y Long, C Luo, Y Li Proceedings of the 37th Pacific Asia Conference on Language, Information and …, 2023 | 1 | 2023 |
| CORA: A platform to support citation context analysis B Yu, Y Hegde, Y Li iConference 2017 Proceedings, 2017 | 1 | 2017 |
| Two-Stage Fine-Tuning for Improved Bias and Variance for Large Pretrained Language Models L Wang, Y Li, T Miller, S Bethard, G Savova Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | | 2023 |
| “Devils Are in the Details”: Annotating Specificity of Clinical Advice from Medical Literature Y Li, B Yu Proceedings of the Second Workshop on Understanding Implicit and …, 2022 | | 2022 |
| Identifying Finding Sentences in Conclusion Subsections of Biomedical Abstracts Y Li, B Yu Information in Contemporary Society: 14th International Conference …, 2019 | | 2019 |
| Crisis on twitter: information, emotion and political content. C Haythornthwaite, Y Li, S Nibban, J Sonne | | 2017 |
Bei YuProfessor, School of Information Studies, Syracuse UniversityVerified email at syr.edu
