AGI-Edgerunners/LLM-Continual-Learning-Papers
Must-read Papers on Large Language Model (LLM) Continual Learning
This is a curated collection of essential academic papers focusing on how to keep Large Language Models (LLMs) updated with new information without forgetting what they've already learned. It helps researchers and practitioners stay current with the latest advancements in making LLMs continually adaptive. You'll find a list of papers, each with a title, authors, and a link to the abstract.
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Use this if you are an AI researcher or machine learning engineer focused on the long-term adaptability and knowledge retention of large language models.
Not ideal if you are looking for an implementation, code examples, or a high-level overview of LLM applications for business users.
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