CPEL: A Causality-Aware, Parameter-Efficient Learning Framework for Adaptation of Large Language Models with Case Studies in Geriatric Care and Beyond

CPEL: A Causality-Aware, Parameter-Efficient Learning Framework for Adaptation of Large Language Models with Case Studies in Geriatric Care and Beyond

Adapting Large Language Models (LLMs) to specialized domains like geriatric care remains a significant challenge due to the limited availability of domain-specific data and the difficulty of achieving efficient yet effective fine-tuning. Current methods often fail to effectively harness domain-speci...

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Bibliographic Details
Main Authors: Jinzhong Xu, Junyi Gao, Xiaoming Liu, Guan Yang, Jie Liu, Yang Long, Ziyue Huang, Kai Yang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
causality-aware
parameter-efficient learning
domain adaptation
geriatric care
Online Access:https://www.mdpi.com/2227-7390/13/15/2460
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