Classification Benchmarks

material ID: classificationbenchmarks

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Contrastive Explanations for Model Interpretability

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AbstractContrastive explanations clarify why an event occurred in contrast to another. They are inherently intuitive to humans to both produce and comprehend. We propose a method to produce contrastive explanations …...

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Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks

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AbstractLarge pre-trained language models (PLMs) have demonstrated superior performance in industrial applications. Recent studies have explored parameter-efficient PLM tuning, which only updates a small amount of task-specific parameters while achieving …...

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