Phantom Gains: Auditing Self-Improvement Against a Measured Null
This paper provides valuable insights into the challenges of auditing self-improvement in language models, particularly the importance of controlling for measurement artifacts. It's a must-read for anyone interested in the field of AI auditing and model evaluation.