Why RAG Benchmarks Can Mislead: Hidden Overfitting Inflates Scores
RAG benchmarks often become accidental training sets when developers tweak models based on the same test queries. This hidden overfitting inflates scores but masks real retrieval failures, meaning deployed systems may miss critical information. The post shows how to break the cycle and keep evaluation truly unseen.