Tag: Self-Evolution
All the articles with the tag "Self-Evolution".
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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.
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TTRL: Test-Time Reinforcement Learning
本文提出测试时强化学习(TTRL)方法,通过多数投票估计奖励,在无标签测试数据上训练大语言模型,实现模型自演化并显著提升推理任务性能。