AIBullisharXiv – CS AI · 10h ago7/10
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Continuous Latent Contexts Enable Efficient Online Learning in Transformers
Researchers demonstrate that transformer models equipped with continuous latent context tokens can efficiently implement online learning algorithms without parameter updates. A small GPT-2-style model trained with this approach outperforms much larger language models on synthetic online prediction tasks, suggesting a promising architectural direction for adaptive AI systems.