新闻
On-Demand Attention: Language Models Know When to Recall
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- On-Demand Attention selectively activates global attention during language model decoding based on predicted necessity, reducing full-context reads while maintaining performance.
- 为何重要
- Matters for engineers optimizing long-context inference in production systems where full attention overhead limits throughput and latency at scale.
- 注意
- Method trains only a recall head on pretrained models; actual speedup depends on GPU conditional execution implementation and may vary across architectures.
- agent
- agentic
- language model
- reasoning
- long-context
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