2026.06.05 | ArcANE框架量化角色弧线；TIDE模型实现主动洞察

【目录】本期的 15 篇论文如下：[00:31] 🎭 ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?（ArcANE：角色扮演语言代理在正确时刻保持角色一致性吗？）[01:26] 🔍 TIDE: Proactive Multi-Problem Discovery via Template-Guided Iteration（TIDE：通过模板引导的迭代实现主动多问题发现）[02:27] 🤖 AdaPlanBench: Evaluating Adaptive Planning in Large Language Model Agents under World and User Constraints（AdaPlanBench：在世界与用户约束下评估大语言模型智能体的自适应规划能力）[03:14] 🎥 VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding（VideoKR：迈向知识和推理密集型视频理解）[04:09] 🤖 RobotValues: Evaluating Household Robots When Human Values Conflict（机器人价值观：当人类价值观冲突时评估家用机器人）[05:01] 🌐 Reinforcement Learning Elicits Contextual Learning of Unseen Language Translation（强化学习引发对未见语言的上下文翻译学习）[05:58] 🎬 LoomVideo: Unifying Multimodal Inputs into Video Generation and Editing（LoomVideo：统一多模态输入的视频生成与编辑）[06:49] 📸 Personal AI Agent for Camera Roll VQA（个人相机胶卷视觉问答的AI助手）[07:36] 🧠 Rethinking Continual Experience Internalization for Self-Evolving LLM Agents（重新思考持续经验内化以实现自演化的大语言模型智能体）[08:27] ⚖ Complexity-Balanced Diffusion Splitting（复杂度平衡扩散分割）[09:28] 🤖 Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation?（Dream.exe：视频生成模型能否构想出可执行的机器人操作？）[10:33] 🔬 Unsupervised Skill Discovery for Agentic Data Analysis（面向智能体数据分析的无监督技能发现）[11:25] 🔍 LLMs Can Leak Training Data But Do They Want To? A Propensity-Aware Evaluation of Memorization in LLMs（大型语言模型可能泄露训练数据，但它们愿意吗？一种基于倾向性的记忆评估方法）[12:17] 🎯 Towards One-to-Many Temporal Grounding（迈向一对多时序定位）[13:16] 💰 The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs（推理的影子价格：大型语言模型最优预算分配的经济学视角）【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【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在小宇宙查看该单集文稿