Papers by Novi Quadrianto

1 papers
Are Compressed Language Models Less Subgroup Robust? (2023.emnlp-main)

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Challenge: Existing methods to reduce model size and latency while retaining overall performance are not known about their impact on subgroup robustness.
Approach: They investigate the effects of model compression on subgroup robustness of BERT language models.
Outcome: The proposed compression methods do not worsen the performance on minority subgroups.

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