arXiv q-fin· Seunghan Lee, Jun Seo, Jaehoon Lee, Junhyeok Kang, Sangjun Han, Sungdong Yoo, Minjae Kim, Tae Yoon Lim, Dongwan Kang, Hwanil Choi, Soonyoung Lee, Wonbin Ahn·· 13 hr agoAI Score61
PALM: Point-in-time Adaptation for Financial Language Models
PALM: Point-in-Time Adaptation for Financial Language Models
AI summary
This paper proposes PALM (Point-in-time Adaptation for financial Language Models) as an alternative to annual pre-training of financial language models. It achieves adaptation by fitting low-rank adapters on permitted financial text without modifying any pre-trained weights.
Source:arXiv q-fin · arxiv.org
Machine LearningLarge Language Model ApplicationsBacktesting MethodsPaper Research#Papers / Research#Large Language Model Applications#Machine Learning#Backtesting#arXiv