MATH-MCQA

New framework tackles LLM data contamination using uncertainty

Researchers have introduced Uncertainty-Based Debiasing and Unlearning (UBD), a novel framework for evaluating and mitigating data contamination in large language models (LLMs). Unlike previous methods that rely solely …