Nov 16, 2023 · In this paper, we introduce a novel problem in the realm of continual learning: Online Continual Knowledge Learning (OCKL).
Jan 28, 2022 · We propose a novel continual learning formulation named Continual Knowledge Learning which allows large language models to constantly obtain new and updated ...
Oct 7, 2021 · We formulate a new continual learning (CL) problem called Continual Knowledge Learning (CKL). We construct a new benchmark and metric to quantify the retention ...
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This is the official github repository for Towards Continual Knowledge Learning of Language Models, accepted at ICLR 2022.
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Large Language Models (LMs) are known to encode world knowledge in their pa- rameters as they pretrain on a vast amount of web corpus, which is often ...
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Sep 6, 2024 · To push the community towards better maintenance of ever-changing LMs, we formulate a new continual learning (CL) problem called Continual ...
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Jun 26, 2024 · This dissertation explores recent advancements in continual learning algorithms within the framework of language models.
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Can language models be knowledge bases?
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Oct 7, 2021 · A novel problem in the realm of continual learning: Online Continual Knowledge Learning (OCKL), which aims to manage the dynamic nature of ...
This is an updating survey for Continual Learning of Large Language Models (CL-LLMs), a constantly updated and extended version for the manuscript.
Dec 6, 2023 · Continual learning in deep networks in- volves the challenge of simultaneously avoiding catastrophic forgetting (McCloskey and Cohen,. 1989), ...
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