From a165527c9b96180e4ab7560857905db3ea47c0bb Mon Sep 17 00:00:00 2001 From: Michael J Clark Date: Fri, 1 Mar 2024 09:29:02 +0800 Subject: [PATCH] Update README.md --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 837ae77..e959b73 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,6 @@ # Identifying Low-Quality Textual Content using LLMs -We explore the feasibility of utilizing Large Language Models (LLMs) to identify 'BS'—text that is of low quality or lacks meaningful content. While recognizing the inherent challenges in detecting AI-generated text with absolute certainty, this research focuses on the more attainable goal of identifying text that is substantively empty or devoid of content. +Can Large Language Models (LLMs) detect low quality text?. We do this by finding text that can "suprise" the model. ## Theoretical Underpinnings