Data contamination
Data contamination is the presence of benchmark evaluation data in the corpus used to train a model
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Data contamination is the presence of benchmark evaluation data in the corpus used to train a model
Distribution shift is the condition in which the probability distribution that produced a model's training data differs from the distribution that produces the data the model actually encounters at test or…
Inter-rater agreement is the degree of consensus among two or more independent raters when they label or score the same set of items.