English(EN) It Takes Two to Match: Co-Evolving Generative Retriever with Reinforcement Learning

新的检索框架CoGR使用LLM为搜索生成关键词

作者 PulseAugur 编辑部 · [2 个来源] · 2026-09-01 03:17

研究人员开发了CoGR，一个新颖的检索框架，它训练大型语言模型直接为查询和项目生成检索表示。该方法采用两阶段训练过程，首先进行监督微调以对齐关键词空间，然后进行协同进化的强化学习。CoGR在内部和公开基准测试中均表现出卓越的性能，显著优于现有的检索方法。 AI

影响该框架可以通过提高候选选择的效率和准确性来增强搜索和广告系统。

排序理由该集群包含一篇详细介绍信息检索新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 2 个来源。我们如何撰写摘要 →

本文如何被排名

Signal score: 1 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 该集群包含一篇详细介绍信息检索新方法的学术论文。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics: paper, infra; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
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arXiv cs.CL TIER_1 English(EN) · Runpeng Dai, Kaili Huang, Changsung Kang, Ciya Liao · 2026-09-02 04:00

双剑合璧：通过强化学习共同演进生成式检索器

arXiv:2609.00638v1 Announce Type: cross Abstract: Retrieval is the first stage of modern search and advertising systems, selecting a candidate set from a large item universe for downstream ranking and auction. Recent work increasingly leverages LLMs to improve retrieval through q…
arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Ciya Liao · 2026-09-01 03:17

双剑合璧：通过强化学习协同进化生成式检索器

Retrieval is the first stage of modern search and advertising systems, selecting a candidate set from a large item universe for downstream ranking and auction. Recent work increasingly leverages LLMs to improve retrieval through query expansion, data synthesis, and retrieval-feed…