Research:Detecting Peacook behavior with LLMs
This page documents a planned research project.
Information may be incomplete and change before the project starts.
Hypothesis[edit]
If we train an LLM on detecting peacock behavior, then we can learn if it can detect this policy violation with at least >70% precision and >50% recall and ultimately, decide if said LLM is effective enough to power a new Edit Check and/or Suggested Edit.
Timeline[edit]
TDA