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Found 2 papers, 2 papers with code
LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models
Efficient fine-tuning is vital for adapting large language models (LLMs) to downstream tasks.
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
Data augmentation is widely used in text classification, especially in the low-resource regime where a few examples for each class are available during training.
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