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Updated: Sep 11, 2025

A Prediction Error-driven Retrieval Procedure for Destabilizing and Rewriting Maladaptive Reward Memories in Hazardous Drinkers
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通过刷新学习和帕雷托优化来缓解分子性质预测中的灾难性遗忘

Sakshi Ranjan, Dheeraj Mishra, Sanjay Kumar Singh

    IEEE transactions on computational biology and bioinformatics
    |August 14, 2025
    PubMed
    概括

    本研究介绍了MTL-PORL,这是一种用于大型语言模型 (LLM) 的新型持续学习 (CL) 框架,可以防止分子性质预测中的灾难性遗忘. 该方法增强了知识的保留和适应,没有先前的数据,提高了顺序学习的表现.

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