BEFT: Bias-Efficient Fine-Tuning of Language Models in Low-Data Regimes
arXiv:2509.15974v2 Announce Type: replace
Abstract: Fine-tuning the bias terms of large language models (LLMs) has the potential to achieve unprecedented parameter efficiency while maintaining competitive performance, particularly in low-data regimes….