---
id: 20260908-T0-01
title: "Iris搜索智能体：35B-397B参数规模接近搜索前沿"
title_en: "Iris Search Agents: 35B-397B Models Push Search Performance Limits"
url: https://ai.daily.yangsir.net/daily/20260908-T0-01
issue_date: 2026-09-08
publish_date: 2026-09-07T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2609.04304
---

# Iris搜索智能体：35B-397B参数规模接近搜索前沿

arXiv新论文介绍Iris-mini和Iris-pro两个搜索智能体，分别基于35B-A3B和397B-A17B架构。训练数据通过超链接结构反向构建任务，使模型学习利用文档间的连接关系进行搜索。该方法在搜索结果质量上展现出接近前沿水平的性能。

## English Version

**Iris Search Agents: 35B-397B Models Push Search Performance Limits**

arXiv paper presents Iris-mini (35B-A3B) and Iris-pro (397B-A17B), two search agents trained using tasks reverse-constructed from web hyperlink structures. The approach teaches models to leverage document connections, achieving near-frontier search performance.

---

**来源**：[arXiv cs.AI](https://arxiv.org/abs/2609.04304)

**详情页**：https://ai.daily.yangsir.net/daily/20260908-T0-01

---

*智语观潮 · Daily — https://ai.daily.yangsir.net/llms.txt*