Risk Under Pressure: Compute-Aware Evaluation of Adversarial Robustness in Language Models
Paper • 2606.11409 • Published • 9
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A one-year long research workshop on large language models: the Summer of Language Models 21 🌸
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why mt0-large is 1.3B while mt5-large is 780M?
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Add evaluation results on the mathemakitten--winobias_antistereotype_test config and test split of mathemakitten/winobias_antistereotype_test
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