2026
ABBA-Adapters: Efficient and Expressive Fine-Tuning of Foundation Models
ICLR 2026poster
Large Language Models have demonstrated strong performance across a wide range of tasks, but adapting them efficiently to new domains remains a key challenge. Parameter-Efficient Fine-Tuning (PEFT) methods address this by introducing lightweight, trainable modules while keeping most pre-trained weig…