21 citations · 64 across the 20 of their papers we have counts for
3 papers · 1 filter
Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations
Zhuoyan Li, Hangxiao Zhu, Zhuoran Lu +1
The collection and curation of high-quality training data is crucial for developing text classification models with superior performance, but it is often associated with significan…
Interactive Concept Learning for Uncovering Latent Themes in Large Text Collections
Maria Leonor Pacheco, Tunazzina Islam, Lyle Ungar +2
Experts across diverse disciplines are often interested in making sense of large text collections. Traditionally, this challenge is approached either by noisy unsupervised techniqu…
Who Should I Trust: AI or Myself? Leveraging Human and AI Correctness Likelihood to Promote Appropriate Trust in AI-Assisted Decision-Making
Shuai Ma, Ying Lei, Xinru Wang +4
In AI-assisted decision-making, it is critical for human decision-makers to know when to trust AI and when to trust themselves. However, prior studies calibrated human trust only b…