arXiv 2610.05107 · cs.IR · 2026-10-04
SearchJev: A Fast and Calibrated System-1 Model for Search Agents
Congfeng Cao, Lipeng Zuo, Konstantinos Papakostas, Qiwei Xu, Songwei Xu, Lun Zhou, Zhaochun Ren, Yougang Lyu 等 9 人
机构待核实
在最新榜 #131 本站收录于 2026-10-21
一句话要点
SearchJev 是快速且校准良好的 System 1 模型，专门替搜索 Agent 做相关性和下一步动作的判断。
SearchJev is a fast, calibrated System 1 model that makes relevance and action decisions for search agents.
阅读 arXiv 原文 PDF Hugging Face 讨论 代码仓库 项目页
主题与学科
同主题：智能体
- Raven: The Harness of Harnesses for Composable Agentic Intelligence ▲748
- False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents ▲642
- BizAgentBench: Unveiling Hidden Challenges in Deploying Long-Horizon Agents for Real-World Business ▲490
- Omni-IO Skills: Harnessing Your Agent Omni-Native ▲485
- Player-1: Learning to Play from Synthetic Experience ▲348
数据说明
元数据来自 arXiv API（已核实）；点赞来自 Hugging Face 每日论文；引用来自 Semantic Scholar。最近刷新 2026-10-22。
要点由本站根据摘要自写，不转载摘要原文，请阅读原文。