CoNotate: Suggesting Queries Based on Notes Promotes Knowledge Discovery

Author:

Palani Srishti1,Ding Zijian1,Nguyen Austin1,Chuang Andrew1,MacNeil Stephen1,Dow Steven P.2

Affiliation:

1. University of California, United States

2. Department of Cognitive Science University of California, United States

Publisher

ACM

Cited by 12 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sensecape: Enabling Multilevel Exploration and Sensemaking with Large Language Models;Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology;2023-10-29

2. Fluid Transformers and Creative Analogies: Exploring Large Language Models’ Capacity for Augmenting Cross-Domain Analogical Creativity;Creativity and Cognition;2023-06-19

3. AutoChemplete - Making Chemical Structural Formulas Accessible;20th International Web for All Conference;2023-04-30

4. CiteSee: Augmenting Citations in Scientific Papers with Persistent and Personalized Historical Context;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

5. Relatedly: Scaffolding Literature Reviews with Existing Related Work Sections;Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems;2023-04-19

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