Unverified50% confidenceSolutionExact time
When the amount of labeled data is only tens to hundreds of samples, directly training a classifier easily leads to overfitting; one might consider fine-tuning the embedding model with a small number of samples or using k-nearest-neighbor classification.
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10/29/2026
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