Unverified50% confidenceTradeoffExact time
A narrower search space sacrifices the agent's creativity in exchange for the attributability of each improvement, while a wider search space may discover better solutions but makes it difficult to explain what worked.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedAgentic Search 在中小规模、结构清晰的代码库表现更好，超大规模复杂场景尚无定论73% similarUnverifiedIf the tool-triggering judgment is too conservative, necessary searches will be missed; if too aggressive, every simple question will trigger unnecessary retrieval, wasting resources and slowing responses.73% similarUnverified对于状态空间小、最优解可完全求解的问题，监督分类学习绕开了强化学习中复杂的奖励设计和探索问题，是更经济的选择72% similarUnverified自动化研究智能体与传统超参数搜索或神经架构搜索不同，能够提出全新的模型结构假设而非仅在预定义搜索空间中优化67% similarUnverified当 Skill 数量膨胀到一定程度，Skill 路由从简单的选择问题演变为检索问题67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/909782API
curl https://kongchang.com/api/v1/knowledge/claims/909782MCP
get_claim(id=909782)