2026.05.29 | AgentDoG 1.5实现毫秒级安全防护；Qwen-VLA统一跨任务动作建模。

【目录】本期的 14 篇论文如下：[00:25] 🛡 AgentDoG 1.5: A Lightweight and Scalable Alignment Framework for AI Agent Safety and Security（AgentDoG 1.5：一种轻量级且可扩展的AI代理安全与安保对齐框架）[01:06] 🤖 Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments（Qwen-VLA：统一跨任务、环境和机器人本体的视觉-语言-动作建模）[02:02] 🌐 OmniRetrieval: Unified Retrieval across Heterogeneous Knowledge Sources（OmniRetrieval：跨异构知识源的统一检索）[02:52] 🎨 CollectionLoRA: Collecting 50 Effects in 1 LoRA via Multi-Teacher On-Policy Distillation（集合LoRA：通过多教师同策略蒸馏将50种效果收集到一个LoRA中）[03:47] 🎬 minWM: A Full-Stack Open-Source Framework for Real-Time Interactive Video World Models（minWM：一个用于实时交互式视频世界模型的全栈开源框架）[04:39] 🎥 YoCausal: How Far is Video Generation from World Model? A Causality Perspective（YoCausal：视频生成距离世界模型还有多远？一个因果视角）[05:42] 🎨 GenClaw: Code-Driven Agentic Image Generation（GenClaw：代码驱动的智能体图像生成）[06:40] ⚡ EarlyTom: Early Token Compression Completes Fast Video Understanding（EarlyTom：早期令牌压缩实现快速视频理解）[07:37] 🎯 UniSteer: Text-Guided Flow Matching in Activation Space for Versatile LLM Steering（UniSteer：文本引导的激活空间流匹配实现多功能大语言模型操控）[08:25] 🧠 How LoRA Remembers? A Parametric Memory Law for LLM Finetuning（LoRA如何记忆？大语言模型微调中的参数化记忆定律）[09:20] 🔗 LoMo: Local Modality Substitution for Deeper Vision-Language Fusion（本地模态替换：实现更深入的视觉-语言融合）[10:24] 🔍 LaRA: Layer-wise Representation Analysis for Detecting Data Contamination in RL Post-Training（LaRA：基于逐层表示分析的RL后训练数据污染检测方法）[11:16] 🧠 Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning（Skill0.5：面向智能体强化学习中分布外泛化的技能内化与利用联合框架）[12:17] 🔍 Xetrieval: Mechanistically Explaining Dense Retrieval（Xetrieval：机制性解释稠密检索）【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