reliable-rl-evaluation-contamination-detection

Detect and eliminate data contamination that invalidates RL benchmarks by measuring benchmark reconstruction ability. Implement clean evaluation datasets to distinguish genuine reasoning improvements from memorization. Use when validating RL training results or ensuring benchmark integrity for mathematical reasoning.

Independent GitHub snapshot · Automated classification · Original documentation governs