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cs.CL2022★ 7 cited
Towards Practical Few-shot Federated NLP
Dongqi Cai, Yaozong Wu, Haitao Yuan +3
Transformer-based pre-trained models have emerged as the predominant solution for natural language processing (NLP). Fine-tuning such pre-trained models for downstream tasks often…
cs.CL2022★ 1 cited
Efficient NLP Model Finetuning via Multistage Data Filtering
Xu Ouyang, Shahina Mohd Azam Ansari, Felix Xiaozhu Lin +1
As model finetuning is central to the modern NLP, we set to maximize its efficiency. Motivated by redundancy in training examples and the sheer sizes of pretrained models, we explo…