2026.07.20 | RAGU引擎用轻量模型低成本构建知识图谱

【赞助商】OpenClaw快报每天五分钟，听听 OpenClaw 快报，带你了解最新动态和业内讨论传送门 https://www.xiaoyuzhoufm.com/podcast/6a1732a2dffa135d0ab5ef43【目录】本期的 15 篇论文如下：[00:32] 🔍 RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM（RAGU：一种具有紧凑领域自适应大语言模型的多步图检索增强生成引擎）[01:35] 🎯 RESOURCE2SKILL: Distilling Executable Agent Skills from Human-Created Multimodal Resources（RESOURCE2SKILL：从人类创建的多模态资源中提炼可执行的智能体技能）[02:34] 🤖 Xiaomi-Robotics-1: Scaling Vision-Language-Action Models with over 100K Hours of Real-World Trajectories（小米机器人-1：基于超过10万小时真实世界轨迹数据扩展视觉-语言-动作模型）[03:21] 🔗 xHC: Expanded Hyper-Connections（xHC：扩展超连接）[04:09] 🔄 Loop the Loopies!（循环循环！）[05:01] 🏥 Cura 1T: Specialized Model for Agentic Healthcare（Cura 1T：面向智能体医疗的专用模型）[05:47] 🧠 RecGPT-V3 Technical Report（RecGPT-V3技术报告）[06:34] 🧪 On-Policy Delta Distillation（在策略增量蒸馏）[07:20] 🤖 From Human-Centric to Agentic Code Review: The Impact of Different Generations of Generative AI Technology on Review Quality（从以人为中心到智能体代码审查：不同代际生成式人工智能技术对审查质量的影响）[08:14] 🎵 Qwen-Music Technical Report（Qwen-Music技术报告）[09:08] ♟ Understanding Reasoning from Pretraining to Post-Training（理解从预训练到后训练中的推理能力）[10:00] 🤖 When Does Muon Help Agentic Reinforcement Learning?（缪子优化器何时有助于智能体强化学习？）[10:56] 🔄 Recursive Harness Self-Improvement（递归式框架自我改进）[11:50] 🎥 VideoRAE: Taming Video Foundation Models for Generative Modeling via Representation Autoencoders（VideoRAE：通过表示自编码器驯服视频基础模型以进行生成建模）[12:49] 🦩 Audio-Visual Flamingo: Open Audio-Visual Intelligence for Long and Complex Videos（音频-视觉火烈鸟：面向长视频与复杂视频的开放音频-视觉智能）【关注我们】您还可以在以下平台找到我们，获得播客内容以外更多信息小红书: AI速递在小宇宙查看该单集文稿