Simona Liao
@simonaliao.bsky.social
She/They
UW CSE Master Graduate on Human Computer Interaction
Product Manager @ Microsoft
UW CSE Master Graduate on Human Computer Interaction
Product Manager @ Microsoft
Thanks for your question, Sung! Here is a pie chart representing the racial identities of non-native English speakers. White folks take up ~50% (most are from European countries) followed up by ~20% Asian folks
December 4, 2024 at 2:35 AM
Thanks for your question, Sung! Here is a pie chart representing the racial identities of non-native English speakers. White folks take up ~50% (most are from European countries) followed up by ~20% Asian folks
2. Researchers who are non-White, non-native English speaking, and junior researchers both use LLMs more frequently and also perceive higher benefits and lower risks (see Fig 4).
3. Equity was a large theme in respondents’ discussions of the benefits of LLMs.
3. Equity was a large theme in respondents’ discussions of the benefits of LLMs.
December 2, 2024 at 7:51 PM
2. Researchers who are non-White, non-native English speaking, and junior researchers both use LLMs more frequently and also perceive higher benefits and lower risks (see Fig 4).
3. Equity was a large theme in respondents’ discussions of the benefits of LLMs.
3. Equity was a large theme in respondents’ discussions of the benefits of LLMs.
Our Key Takeaways:
1. 81% of researchers we surveyed have used LLMs in one or more places in their research pipeline, with the tasks of Information Seeking and Editing reported most frequently and Data Analysis and Generation reported least frequently (see fig 2).
1. 81% of researchers we surveyed have used LLMs in one or more places in their research pipeline, with the tasks of Information Seeking and Editing reported most frequently and Data Analysis and Generation reported least frequently (see fig 2).
December 2, 2024 at 7:48 PM
Our Key Takeaways:
1. 81% of researchers we surveyed have used LLMs in one or more places in their research pipeline, with the tasks of Information Seeking and Editing reported most frequently and Data Analysis and Generation reported least frequently (see fig 2).
1. 81% of researchers we surveyed have used LLMs in one or more places in their research pipeline, with the tasks of Information Seeking and Editing reported most frequently and Data Analysis and Generation reported least frequently (see fig 2).