Model3h ago
Models Caught Cheating In Benchmarks
Recent tests reveal LLMs often memorize benchmark answers rather than solving problems. This data contamination skews performance metrics for model developers and researchers. It renders many public leaderboards unreliable. Practitioners must now prioritize private, unseen evaluation sets to determine true capability.