Beyond labels: Empowering human annotators with natural language explanations through a novel active-learning architecture B Yao, I Jindal, L Popa, Y Katsis, S Ghosh, L He, Y Lu, S Srivastava, Y Li, ... arXiv preprint arXiv:2305.12710, 2023 | 11* | 2023 |
Rethinking human-ai collaboration in complex medical decision making: A case study in sepsis diagnosis S Zhang, J Yu, X Xu, C Yin, Y Lu, B Yao, M Tory, LM Padilla, J Caterino, ... Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-18, 2024 | 9 | 2024 |
Improving biomedical question answering by data augmentation and model weighting Y Du, J Yan, Y Lu, Y Zhao, X Jin IEEE/ACM Transactions on Computational Biology and Bioinformatics 20 (2 …, 2022 | 6 | 2022 |
Human still wins over llm: An empirical study of active learning on domain-specific annotation tasks Y Lu, B Yao, S Zhang, Y Wang, P Zhang, T Lu, TJJ Li, D Wang arXiv preprint arXiv:2311.09825, 2023 | 4 | 2023 |
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities Y Sun, J Liu, B Yao, J Chen, D Wang, X Ma, Y Lu, Y Xu, L He arXiv preprint arXiv:2401.13804, 2024 | 3 | 2024 |
FairytaleCQA: Integrating a Commonsense Knowledge Graph into Children's Storybook Narratives J Chen, Y Lu, S Zhang, B Yao, Y Dong, Y Xu, Y Li, Q Wang, D Wang, ... arXiv preprint arXiv:2311.09756, 2023 | 3 | 2023 |
Contextual embedding and model weighting by fusing domain knowledge on biomedical question answering Y Lu, J Yan, Z Qi, Z Ge, Y Du Proceedings of the 13th ACM International Conference on Bioinformatics …, 2022 | 3 | 2022 |
Dual model weighting strategy and data augmentation in biomedical question answering Y Du, J Yan, Y Zhao, Y Lu, X Jin 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2021 | 3 | 2021 |
Professional Network Matters: Connections Empower Person-Job Fit H Chen, L Du, Y Lu, Q Fu, X Chen, S Han, Y Kang, G Lu, Z Li Proceedings of the 17th ACM International Conference on Web Search and Data …, 2024 | 2 | 2024 |
More Samples or More Prompt Inputs? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering B Yao, G Chen, R Zou, Y Lu, J Li, S Zhang, S Liu, J Hendler, D Wang arXiv preprint arXiv:2311.09782, 2023 | 2 | 2023 |
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling B Yao, G Chen, R Zou, Y Lu, J Li, S Zhang, Y Sang, S Liu, J Hendler, ... Findings of the Association for Computational Linguistics: NAACL 2024, 1772-1790, 2024 | | 2024 |