Detecting Data Contamination from Reinforcement Learning Post-training for Large Language Models

Yongding Tao, Tian Wang, Yihong Dong +4

Data contamination poses a significant threat to the reliable evaluation of Large Language Models (LLMs). This issue arises when benchmark samples may inadvertently appear in train…