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2024 ICML ICML 2024

Implicit meta-learning may lead language models to trust more reliable sources

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.

Authors

Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Kacper Mlodozeniec, Tegan Maharaj, David Krueger

Topics

Artificial Intelligence > Core AI > Multimodal Learning Machine Learning > Learning Types > Transfer Learning Artificial Intelligence > Core AI > Large Language Models

Keywords

probing fine tuning large language model implicit meta-learning knowledge parameters usefulness tags
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