新闻
SWE-Pruner Pro: The Coder LLM Already Knows What to Prune
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- SWE-Pruner Pro reduces token usage in coding agents by 39% by leveraging the agent's internal representations to identify and remove irrelevant code context.
- 为何重要
- Matters for engineers building or deploying coding agents that process long contexts, where token costs and latency directly impact performance and expense.
- 注意
- Results shown on specific benchmarks and backbones; generalization to other coding models or real-world codebases remains unclear from the abstract.
收听本摘要
- agent
- llm
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