Papers by Parisa Safikhani
AutoML Meets Hugging Face: Domain-Aware Pretrained Model Selection for Text Classification (2025.naacl-srw)
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| Challenge: | Existing methods for fine-tuning text classification models are resource-intensive and require substantial computational power and time. |
| Approach: | They propose a corpus-driven domain mapping pipeline that integrates pre-fine-tuned models from Hugging Face Model Hub into AutoML systems to improve model selection. |
| Outcome: | The proposed pipeline improves model selection and streamlines workflows and reduces computational costs. |