Papers by Venkateswara Kagita
On Robustness of Finetuned Transformer-based NLP Models (2023.findings-emnlp)
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| Challenge: | Pretrained Transformer-based language models have been finetuned for a large number of tasks. |
| Approach: | They characterize changes between pretrained and finetuned models with CKA and STIR metrics. |
| Outcome: | The proposed models are more robust to perturbations than BERT and T5 on classification tasks and generation tasks. |