This python code performs an efficient speech reverberation starting from a dataset of close-talking speech signals and a collection of acoustic impulse responses.
The Paper List on Data Contamination for Large Language Models Evaluation.
The official implementation of the paper "Data Contamination Calibration for Black-box LLMs" (ACL 2024)
Python package developed to evaluate textual overlap (N-Grams) between two volumes of text.
The official repository for the paper entitled "Time Travel in LLMs: Tracing Data Contamination in Large Language Models."
DICE: Detecting In-distribution Data Contamination with LLM's Internal State
The official repository for the paper entitled "Data Contamination Quiz: A Tool to Detect and Estimate Contamination in Large Language Models."
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