2026.05.05 | 开源MolmoAct2实战87%成功率；GPT上下文提炼技能再升级

【目录】本期的 14 篇论文如下：[00:21] 🤖 MolmoAct2: Action Reasoning Models for Real-world Deployment（MolmoAct2：面向实际部署的動作推理模型）[01:02] 🧠 From Context to Skills: Can Language Models Learn from Context Skillfully?（从上下文到技能：语言模型能否从上下文中巧妙学习？）[01:44] 🔁 Repetition over Diversity: High-Signal Data Filtering for Sample-Efficient German Language Modeling（重复胜于多样：面向样本高效德语语言模型的高信号数据过滤）[02:35] 👁 Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs（持久视觉记忆：在大视觉语言模型中维持感知以支持深度生成）[03:18] 🌊 OceanPile: A Large-Scale Multimodal Ocean Corpus for Foundation Models（海洋堆：面向基础模型的大规模多模态海洋语料库）[03:56] 🧩 ComboStoc: Combinatorial Stochasticity for Diffusion Generative Models（ComboStoc：扩散生成模型的组合随机性）[04:44] 🎓 AcademiClaw: When Students Set Challenges for AI Agents（AcademiClaw：当学生为AI代理设置挑战时）[05:25] 🏥 PhysicianBench: Evaluating LLM Agents in Real-World EHR Environments（医师基准：在真实电子健康记录环境中评估大语言模型智能体）[06:06] 🤖 T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning（T²PO：不确定性引导的探索控制实现稳定多轮智能体强化学习）[07:04] 🌳 Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation（面向跨文档检索增强生成的分层抽象树）[07:54] 🌌 Generative Modeling with Orbit-Space Particle Flow Matching（基于轨道空间粒子流匹配的生成式建模）[08:30] 🧠 Perceptual Flow Network for Visually Grounded Reasoning（感知流网络用于视觉基础推理）[09:06] 🎬 Motion-Aware Caching for Efficient Autoregressive Video Generation（运动感知缓存实现高效自回归视频生成）[09:54] 🤖 Code World Model Preparedness Report（代码世界模型准备情况报告）【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