Summary of Efficacy Of Utilizing Large Language Models to Detect Public Threat Posted Online, by Taeksoo Kwon (algorix Convergence Research Office) et al.
Efficacy of Utilizing Large Language Models to Detect Public Threat Posted Online
by Taeksoo Kwon, Connor Kim
First submitted to arxiv on: 29 Dec 2023
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
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| 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 paper explores the effectiveness of large language models (LLMs) in detecting public threats posted online, aiming to improve early identification and moderation. Custom tools were developed to collect post titles from a popular Korean online community, comprising 500 non-threat examples and 20 threats. Various LLMs (GPT-3.5, GPT-4, PaLM) were trained to classify individual posts as “threat” or “safe”. Statistical analysis showed all models demonstrated strong accuracy, with GPT-4 performing best overall. The findings suggest LLMs can augment human content moderation at scale to mitigate emerging online risks, but biases, transparency, and ethical oversight remain crucial considerations. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper looks at how computers can help detect threats posted online. It wants to find ways to stop bad things from happening before they happen. They made a special tool to collect post titles from a popular Korean website. The tool found 500 posts that weren’t threats and 20 posts that were threats. Then, they used special computer models (GPT-3.5, GPT-4, PaLM) to look at the posts and decide if they were threats or not. The results showed that these computer models can help find threats and keep people safe online. But we need to make sure these computers are fair, transparent, and work in a way that’s good for everyone. |
Keywords
» Artificial intelligence » Gpt » Palm
