Token-Efficient Leverage Learning in Large Language Models

arXiv:2404.00914v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have excelled in various tasks but perform better in high-resource scenarios, which presents challenges in low-resource scenarios. Data scarcity and the inherent difficulty of adapting LLMs to specific tasks compound the challenge. To address the twin hurdles, we introduce \textbf{Leverage Learning}. We present a streamlined implement of this methodology called Token-Efficient Leverage Learning (TELL). TELL showcases the potential of Leverage Learning, demonstrating effectiveness across various LLMs and low-resource tasks, ranging from …

abstract arxiv challenge challenges cs.ai cs.cl cs.lg data language language models large language large language models llms low specific tasks tasks token twin type