2 papers
cs.LG2025
Pretrained Hybrids with MAD Skills
Nicholas Roberts, Samuel Guo, Zhiqi Gao +5
While Transformers underpin modern large language models (LMs), there is a growing list of alternative architectures with new capabilities, promises, and tradeoffs. This makes choo…
cs.LG2025
MoRe Fine-Tuning with 10x Fewer Parameters
Wenxuan Tan, Nicholas Roberts, Tzu-Heng Huang +5
Parameter-efficient fine-tuning (PEFT) techniques have unlocked the potential to cheaply and easily specialize large pretrained models. However, the most prominent approaches, like…