Research:Detecting Peacook behavior with LLMs

Tracked in Phabricator:
Task T368274
Duration:  2024-07 – ??

This page documents a planned research project.
Information may be incomplete and change before the project starts.



Hypothesis

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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

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TDA

References

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