Tag: Personalization
All the articles with the tag "Personalization".
-
Long Term Memory: The Foundation of AI Self-Evolution
This paper proposes Long-Term Memory (LTM) as a cornerstone for AI self-evolution, demonstrating through multi-agent frameworks like OMNE and diverse experiments that LTM enables personalized, adaptive learning in LLMs during inference, achieving top performance on benchmarks like GAIA.
-
HyPerAlign: Hypotheses-driven Personalized Alignment
本文提出HyPerAlign方法,通过假设驱动的少样本学习实现LLM的个性化对齐,提高了模型对个体用户的适应性和安全性,同时减少了对微调的依赖。