CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning

Yeachan Kim, Junho Kim, SangKeun Lee

Parameter-efficient fine-tuning (PEFT) has enabled the efficient optimization of cumbersome language models in real-world settings. However, as datasets in such environments often…