新闻
CliffCompaction: Cost-Efficient Compaction for Long-Horizon Coding Agents
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- CliffCompaction reduces AI coding agent costs by up to 50% while maintaining performance by selectively truncating context without rephrasing.
- 为何重要
- Engineers building long-horizon coding agents that exceed context windows and need to manage test-time scaling costs efficiently.
- 注意
- The technique is demonstrated on specific benchmarks; generalization to other agent tasks and real-world coding complexity remains unclear.
- agent
- context window
- kernel
- token
- long-horizon
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