Continual learning of large language models: A comprehensive survey
The recent success of large language models (LLMs) trained on static, pre-collected,
general datasets has sparked numerous research directions and applications. One such …
general datasets has sparked numerous research directions and applications. One such …
Trends and challenges of real-time learning in large language models: A critical review
M Jovanovic, P Voss - arXiv preprint arXiv:2404.18311, 2024 - arxiv.org
Real-time learning concerns the ability of learning systems to acquire knowledge over time,
enabling their adaptation and generalization to novel tasks. It is a critical ability for …
enabling their adaptation and generalization to novel tasks. It is a critical ability for …
CLoG: Benchmarking Continual Learning of Image Generation Models
Continual Learning (CL) poses a significant challenge in Artificial Intelligence, aiming to
mirror the human ability to incrementally acquire knowledge and skills. While extensive …
mirror the human ability to incrementally acquire knowledge and skills. While extensive …
Recent Advances of Foundation Language Models-based Continual Learning: A Survey
Recently, foundation language models (LMs) have marked significant achievements in the
domains of natural language processing (NLP) and computer vision (CV). Unlike traditional …
domains of natural language processing (NLP) and computer vision (CV). Unlike traditional …
[PDF][PDF] Towards Incremental Learning in Large Language Models: A Critical Review
M Jovanović - 2024 - researchgate.net
Incremental learning is the ability of systems to acquire knowledge over time, enabling their
adaptation and generalization to novel tasks. It is a critical ability for intelligent, real-world …
adaptation and generalization to novel tasks. It is a critical ability for intelligent, real-world …