SuRe: Enhancing Continual Learning in LLMs with Surprise-Driven Replay
Published:Nov 27, 2025 12:06
•1 min read
•ArXiv
Analysis
This research introduces SuRe, a novel approach to continual learning for Large Language Models (LLMs) leveraging surprise-driven prioritized replay. The methodology potentially improves LLM adaptability to new information streams, a crucial aspect of their long-term viability.
Key Takeaways
Reference
“The paper likely details a new replay mechanism.”