Wang-ML-Lab/llm-continual-learning-survey
[CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey
This survey helps AI researchers and machine learning engineers stay current with the rapidly evolving field of Continual Learning for Large Language Models (CL-LLMs). It provides an organized collection of the latest academic papers and research developments on how LLMs can continually learn and adapt to new information without forgetting old knowledge. The output is a categorized list of research papers, often with links to their full text and sometimes code, enabling users to quickly grasp the state-of-the-art and identify relevant studies for their own work.
530 stars.
Use this if you are an AI researcher or machine learning engineer working with Large Language Models and need a centralized, up-to-date resource to track advancements in making these models continually learn new information.
Not ideal if you are looking for an introduction to LLMs or continual learning concepts, or if you need practical guides on implementing CL-LLMs rather than a survey of research literature.
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Dec 23, 2025
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