An Experimental Study on Dynamic Lifelong Learning With GPT for Mitigating Catastrophic Forgetting in Aspect-Based Sentiment Analysis
GPT is widely recognized as one of the most versatile and powerful large language models, excelling across diverse domains. However, its significant computational demands often render it economically unfeasible for individuals and small businesses, underscoring the need for efficient, domain-specifi...
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| Main Authors: | Huang Huang, Mumtaz Begum Mustafa, Adeleh Asemi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10909082/ |
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