新闻
Folio: Recoverable Multi-Resolution Context Folding for Long-Horizon Language Agents
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Folio manages long-context language agents by recording history at three levels and programmatically folding older turns into coarser summaries while preserving recovery handles.
- 为何重要
- Matters for engineers building AI agents that run multi-step tasks and hit context window limits, needing faster and cheaper execution than model-based summarization.
- 注意
- Results shown only on LOCA-bench tasks with DeepSeek-V4-Pro; generalization to other models, domains, and real-world agent workflows remains undemonstrated.
- agent
- context window
- long-horizon
这条新闻背后的模式
- Agent Context Preservation and Recovery
- Agentic Context Engineering (Evolving Playbook)
- Filesystem as Context (Context Offloading)
每个模式都讲清楚技术如何运作、何时值得投入，以及在哪里会失效。
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