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2025 ICML ICML 2025

Exploiting Presentative Feature Distributions for Parameter-Efficient Continual Learning of Large Language Models

Abstract

No abstract available. No abstract was captured for this paper when its proceedings were scraped - most often an older edition published without one online. How the corpus is built.

🌉 Interdisciplinary Bridge - Artificial Intelligence and Natural Language Processing

Authors

Xin Cheng, Jiabo Ye, Haiyang Xu, Ming Yan, Ji Zhang, Feng Liu, Fei Huang, Lei Feng

Topics

Machine Learning > Core Methods > Representation Learning Natural Language Processing > Resources & Methods > Large Language Models Artificial Intelligence > Core AI > Large Language Models

Keywords

continual learning parameter-efficient fine-tuning information leakage llms presentative feature distribution similarity
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