CIL-LLM: Incremental Learning Framework Based on Large Language Models for Category Classification

CIL-LLM: Incremental Learning Framework Based on Large Language Models for Category Classification

To enhance classification accuracy in class-incremental learning (CIL) models for text classification and mitigate the issue of catastrophic forgetting, this paper introduces a CIL framework based on a large language model (CIL-LLM). The CIL-LLM framework selects representative samples through sampl...

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Bibliographic Details
Main Author: WANG Xiaoyu, LI Xin, HU Mianning, XUE Di
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2025-02-01
Series:Jisuanji kexue yu tansuo
Subjects:
class-incremental learning; large language model (llm); thematic classification; knowledge distillation
Online Access:http://fcst.ceaj.org/fileup/1673-9418/PDF/2408049.pdf
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