Analyzing the Effect of Noise in LLM Fine-tuning
arXiv:2604.12469v1 Announce Type: new
Abstract: Fine-tuning is the dominant paradigm for adapting pretrained large language models (LLMs) to downstream NLP tasks. In practice, fine-tuning datasets may contain various forms of noise arising from annota…