2026.08.25 | 智能体从会答到会交付；全模态世界开放可进入

【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：[00:30] 🤖 Apodex 1.1: Scaling Agentic Intelligence for Complex Work（Apodex 1.1：扩展智能体智能以应对复杂工作）[01:36] 🎮 EchoWM: Open and Enterable Omnimodal World Models（EchoWM：开放且可进入的全模态世界模型）[02:40] 🛒 TLive-Omni: An Omni-Modal Understanding Model for E-Commerce Live Streaming（TLive-Omni：面向电商直播的全模态理解模型）[03:22] 🎨 Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision（通过概念缩放与密集监督解锁图像编辑的潜力）[04:20] 📱 MobilePA-Bench: Benchmarking Mobile Planner Agents on Complex Real-World Tasks（MobilePA-Bench：面向复杂真实世界任务的移动规划智能体基准评测）[05:16] 🤖 Prime Agent: A Self-Improving RLM Harness（Prime Agent：一种自我改进的递归语言模型工具框架）[06:22] 🧊 Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion（Block3D：通过块状扩散的高效文本到三维生成）[07:09] 🚗 RISE: Adaptive Imagination for World Action Models（RISE：面向世界行动模型的自适应想象）[08:19] 📈 Towards a Densing Law for User Representation Learning at Billion-Scale Capacity（面向十亿级容量用户表示学习的稠密化定律）[09:26] ⚖ ARC: Fair Relative Advantage Comparison in Open-Ended Real-World Interaction（ARC：开放式真实世界交互中的公平相对优势比较）[10:27] 🧠 ReWorld: An Interactive World Model with Long-Horizon Memory（ReWorld：一个具有长时记忆的交互式世界模型）[11:29] ⚖ Beyond the Stability-Exploration Dilemma: Environmental Regularization for LLM Policy Optimization（超越稳定性-探索困境：面向大语言模型策略优化的环境正则化）[12:23] 🎮 GameXpert-Bench: How Far Are Coding Agents from Expert Game Development?（GameXpert-Bench：编码智能体距离专家级游戏开发还有多远？）[13:17] 🧪 One Success Isn't Reliability: Thinkingbox, a Sandbox and Benchmark for Agents in Stateful Business Workflows（一次成功不等于可靠：Thinkingbox——面向有状态业务工作流的智能体沙盒与基准测试）[14:26] 🎯 Task-CoEvolve: Efficient Harness Optimization via Adaptive Validation Task Selection（Task-CoEvolve：通过自适应验证任务选择实现高效的工具链优化）【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