新闻
The Regression Tax: Decomposing Why Skills Help and Hurt LLM Agents
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Research shows adding skills to LLM agents often causes regressions where previously solved tasks now fail, offsetting gains from new capabilities.
- 为何重要
- Matters for engineers building agentic systems who need to understand that skill improvements must be evaluated by net effect, not average gains alone.
- 注意
- Study focuses on office automation benchmarks; findings may not generalize to all agent domains or task types beyond those tested.
收听本摘要
- agent
- llm
- rag
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