Notion 知识库重构思考
2024-01-02
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A Survey of Large Language Models
2023-12-25
Zhao, W. X., Zhou, K., Li, J., Tang, T., Wang, X., Hou, Y., … Wen, J.-R. (2023, November 24). A Survey of Large Language Models. arXiv.
Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models
2023-03-20
Park, S., Wang, A. Y., Kawas, B., Liao, Q. V., Piorkowski, D., & Danilevsky, M. (2021). Facilitating Knowledge Sharing from Domain Experts to Data Scientists for Building NLP Models. 26th International Conference on Intelligent User Interfaces, 585–596. https://doi.org/10.1145/3397481.3450637
Datasheets for datasets
2023-03-15
Gebru, T., Morgenstern, J., Vecchione, B., Vaughan, J. W., Wallach, H., III, H. D., & Crawford, K. (2021). Datasheets for datasets. Communications of the ACM, 64(12), 86–92. https://doi.org/10.1145/3458723
Toward Practices for Human-Centered Machine Learning
2023-03-10
Chancellor, S. (n.d.). Toward Practices for Human-Centered Machine Learning. Retrieved March 16, 2023, from https://cacm.acm.org/magazines/2023/3/270209-toward-practices-for-human-centered-machine-learning/fulltext
Toward human-centered AI-A perspective from human-computer interaction
2023-03-08
Xu, W. (2019). Toward human-centered AI: A perspective from human-computer interaction. Interactions, 26(4), 42–46. https://doi.org/10.1145/3328485
Human-Centric Research for NLP-Towards a Definition and Guiding Questions
2023-03-05
Kotnis, B., Gashteovski, K., Gastinger, J., Serra, G., Alesiani, F., Sztyler, T., Shaker, A., Gong, N., Lawrence, C., & Xu, Z. (2022). Human-Centric Research for NLP: Towards a Definition and Guiding Questions (arXiv:2207.04447). arXiv. https://doi.org/10.48550/arXiv.2207.04447
Knowledge Enhanced Target-Aware Stance Detection on Tweets.
2023-02-16
Zhang, X., Yuan, J., Zhao, Y., & Qin, B. (2021). Knowledge Enhanced Target-Aware Stance Detection on Tweets. 收入 B. Qin, Z. Jin, H. Wang, J. Pan, Y. Liu, & B. An, Knowledge Graph and Semantic Computing: Knowledge Graph Empowers New Infrastructure Construction (页 171–184). Springer. https://doi.org/10.1007/978-981-16-6471-7_13