Transformer-based large language models struggle with long-context tasks due to poor scaling of their attention mechanism. Implementing a sleep-like consolidation mechanism allows models to convert recent context into persistent fast weights while clearing their key-value cache.
arxiv.org
2 min
5/26/2026
Transformer-based large language models struggle with long-context tasks due to poor scaling of their attention mechanism. Implementing a sleep-like consolidation mechanism allows models to convert recent context into persistent fast weights while clearing their key-value cache.
arxiv.org
2 min
5/26/2026
Transformer-based large language models struggle with long-context tasks due to poor scaling of their attention mechanism. Implementing a sleep-like consolidation mechanism allows models to convert recent context into persistent fast weights while clearing their key-value cache.
arxiv.org
2 min
5/26/2026
No more articles to load