Summary of Can Gpt-4 Help Detect Quit Vaping Intentions? An Exploration Of Automatic Data Annotation Approach, by Sai Krishna Revanth Vuruma et al.
Can GPT-4 Help Detect Quit Vaping Intentions? An Exploration of Automatic Data Annotation Approach
by Sai Krishna Revanth Vuruma, Dezhi Wu, Saborny Sen Gupta, Lucas Aust, Valerie Lookingbill, Wyatt Bellamy, Yang Ren, Erin Kasson, Li-Shiun Chen, Patricia Cavazos-Rehg, Dian Hu, Ming Huang
First submitted to arxiv on: 28 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Emerging Technologies (cs.ET); Human-Computer Interaction (cs.HC); Social and Information Networks (cs.SI)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The study aims to understand vaping behaviors and develop effective cessation strategies by analyzing a sample dataset from a vaping sub-community on Reddit. The authors leverage OpenAI’s GPT-4 language model for sentence-level quit-vaping intention detection, comparing its outcomes with layman and clinical expert annotations. The researchers also evaluate different prompting strategies, such as zero-shot, one-shot, few-shot, and chain-of-thought prompting, to explain the task to GPT-4 and compare their performance. This study highlights the potential of GPT-4 in social media data analysis for identifying users’ subtle intentions that may elude human detection. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary People are using e-cigarettes more than ever before, which has led to many serious lung injuries and even deaths. To understand why this is happening, researchers looked at a group of people on the internet who talk about vaping. They used a special computer program called GPT-4 to see if it could detect when someone was trying to quit vaping. The results show that GPT-4 can be very good at doing this job. This study also shows how different ways of explaining the task to GPT-4 can affect its performance. |
Keywords
» Artificial intelligence » Few shot » Gpt » Language model » One shot » Prompting » Zero shot
