Robert John Kingan

Can LLMs Find a Needle in a Haystack? A Look at Anomaly Detection Language Modeling

Anomaly detection (AD), also known as Outlier Detection, is a longstanding problem in machine learning, which has recently been applied to text data. In these datasets, a textual anomaly is a part of the text that does not fit the overall topic of the text. Some recent approaches to textual AD have