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cs.CL2025
Block Circulant Adapter for Large Language Models
Xinyu Ding, Meiqi Wang, Siyu Liao +1
Fine-tuning large language models (LLMs) is difficult due to their huge model size. Recent Fourier domain-based methods show potential for reducing fine-tuning costs. We propose a…
cs.CL2021
Elbert: Fast Albert with Confidence-Window Based Early Exit
Keli Xie, Siyuan Lu, Meiqi Wang +1
Despite the great success in Natural Language Processing (NLP) area, large pre-trained language models like BERT are not well-suited for resource-constrained or real-time applicati…