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cs.CR2024★ 1 cited
Supporting Human Raters with the Detection of Harmful Content using Large Language Models
Kurt Thomas, Patrick Gage Kelley, David Tao +7
In this paper, we explore the feasibility of leveraging large language models (LLMs) to automate or otherwise assist human raters with identifying harmful content including hate sp…
cs.CR2024★ 6 cited
Give and Take: An End-To-End Investigation of Giveaway Scam Conversion Rates
Enze Liu, George Kappos, Eric Mugnier +6
Scams -- fraudulent schemes designed to swindle money from victims -- have existed for as long as recorded history. However, the Internet's combination of low communication cost, g…