ScatterShot: Interactive In-context Example Curation for Text Transformation-Reference-Cited by-同舟云学术

ScatterShot: Interactive In-context Example Curation for Text Transformation

Published:2023-03-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th International Conference on Intelligent User Interfaces
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Author:

Wu Sherry¹^ORCID,Shen Hua²^ORCID,Weld Daniel S³^ORCID,Heer Jeffrey⁴^ORCID,Ribeiro Marco Tulio⁵^ORCID

Affiliation:

1. Human-Computer Interaction Institute, Carnegie Mellon University, United States

2. College of Information Sciences and Technology, The Pennsylvania State University, United States

3. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States and Semantic Scholar, Allen Institute for Artificial Intelligence, United States

4. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States

5. Microsoft Research, United States

Funder

NSF (National Science Foundation)

Office of Naval Research

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581641.3584059

Reference72 articles.

1. Sweta Agrawal , Chunting Zhou , Mike Lewis , Luke Zettlemoyer , and Marjan Ghazvininejad . 2022. In-context Examples Selection for Machine Translation. ArXiv preprint abs/2212.02437 ( 2022 ). https://arxiv.org/abs/2212.02437 Sweta Agrawal, Chunting Zhou, Mike Lewis, Luke Zettlemoyer, and Marjan Ghazvininejad. 2022. In-context Examples Selection for Machine Translation. ArXiv preprint abs/2212.02437 (2022). https://arxiv.org/abs/2212.02437

2. Satya Almasian , Dennis Aumiller , and Michael Gertz . 2021. BERT got a Date: Introducing Transformers to Temporal Tagging. ArXiv preprint abs/2109.14927 ( 2021 ). https://arxiv.org/abs/2109.14927 Satya Almasian, Dennis Aumiller, and Michael Gertz. 2021. BERT got a Date: Introducing Transformers to Temporal Tagging. ArXiv preprint abs/2109.14927 (2021). https://arxiv.org/abs/2109.14927

3. Power to the People: The Role of Humans in Interactive Machine Learning

4. Using confidence bounds for exploitation-exploration trade-offs;Auer Peter;Journal of Machine Learning Research 3,2002

5. Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension

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