Papers by Novi Quadrianto
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. |