| Stance Detection in COVID-19 Tweets K Glandt, S Khanal, Y Li, D Caragea, C Caragea Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 139 | 2021 |
| Multi-Task Stance Detection with Sentiment and Stance Lexicons Y Li, C Caragea Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 105 | 2019 |
| P-Stance: A Large Dataset for Stance Detection in Political Domain Y Li, T Sosea, A Sawant, AJ Nair, D Inkpen, C Caragea Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 90 | 2021 |
| Target-Aware Data Augmentation for Stance Detection Y Li, C Caragea Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 34 | 2021 |
| Improving Stance Detection with Multi-Dataset Learning and Knowledge Distillation Y Li, C Zhao, C Caragea Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 29 | 2021 |
| A Multi-Task Learning Framework for Multi-Target Stance Detection Y Li, C Caragea Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 21 | 2021 |
| TTS: A Target-based Teacher-Student Framework for Zero-Shot Stance Detection Y Li*, C Zhao*, C Caragea Proceedings of the ACM Web Conference 2023, 1500-1509, 2023 | 17 | 2023 |
| C-STANCE: A Large Dataset for Chinese Zero-Shot Stance Detection C Zhao, Y Li, C Caragea Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 15 | 2023 |
| A New Direction in Stance Detection: Target-Stance Extraction in the Wild Y Li*, K Garg*, C Caragea Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 12 | 2023 |
| Image Mixed Blur Classification and Parameter Identification based on Cepstrum Peak Detection Y Li, X Di 2016 35th Chinese Control Conference (CCC), 4809-4814, 2016 | 12 | 2016 |
| Sympathy Detection in Disaster Twitter Data Y Li, S Park, C Caragea, D Caragea, A Tapia Proceedings of the 16th International Conference on Information Systems for …, 2019 | 9 | 2019 |
| Distilling Calibrated Knowledge for Stance Detection Y Li, C Caragea Findings of the Association for Computational Linguistics: ACL 2023, 6316-6329, 2023 | 7 | 2023 |
| A No-Reference Infrared Image Sharpness Assessment based on Singular Value Decomposition Y Li, X Di 2016 Visual Communications and Image Processing (VCIP), 1-4, 2016 | 3 | 2016 |
| XAL: EXplainable Active Learning Makes Classifiers Better Low-resource Learners Y Luo, Z Yang, F Meng, Y Li, F Guo, Q Qi, J Zhou, Y Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2023 | 2 | 2023 |
| Pro-Woman, Anti-Man? Identifying Gender Bias in Stance Detection Y Li, Y Zhang Findings of the Association for Computational Linguistics ACL 2024, 3229-3236, 2024 | 1 | 2024 |
| Task Calibration: Calibrating Large Language Models on Inference Tasks Y Li, Y Luo, X Xie, Y Zhang arXiv preprint arXiv:2410.18764, 2024 | | 2024 |
| ZeroStance: Leveraging ChatGPT for Open-Domain Stance Detection via Dataset Generation C Zhao*, Y Li*, C Caragea, Y Zhang Findings of the Association for Computational Linguistics ACL 2024, 13390-13405, 2024 | | 2024 |
| A Rationale-Centric Counterfactual Data Augmentation Method for Cross-Document Event Coreference Resolution B Ding, Q Min, S Ma, Y Li, L Yang, Y Zhang Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Exploring Heterophily in Calibration of Graph Neural Networks X Xie, B Luo, Y Li*, C Yang, W Gui Neurocomputing 604, 128294, 2024 | | 2024 |
| Enhancing Argument Structure Extraction with Efficient Leverage of Contextual Information Y Luo, Z Yang, F Meng, Y Li, J Zhou, Y Zhang Findings of the Association for Computational Linguistics: EMNLP 2023, 7563–7571, 2023 | | 2023 |
Cornelia CarageaUniversity of Illinois at ChicagoVerified email at uic.edu
