Leveraging Adapters for Neural Architecture Search in Large Language Models
- 1 April 2026
- book chapter
- Published by Springer Nature
- p. 449-458
Abstract
No abstract availableKeywords
This publication has 7 references indexed in Scilit:
- Shears: Unstructured Sparsity with Neural Low-rank Adapter Search2024
- Parameter-efficient fine-tuning of large-scale pre-trained language modelsNature Machine Intelligence, 2023
- LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models2023
- Neural Architecture Search for Parameter-Efficient Fine-tuning of Large Pre-trained Language Models2023
- AdapterHub: A Framework for Adapting Transformers2020
- NSGA-Net2019
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding2019