2026.05.07 | 奖励蒸馏让像素会“挑重点”；测试时扩展逐块稳长视频

【目录】本期的 15 篇论文如下：[00:24] 🎥 Stream-R1: Reliability-Perplexity Aware Reward Distillation for Streaming Video Generation（Stream-R1：面向流式视频生成的可靠性-困惑度感知奖励蒸馏）[01:27] 🎥 Stream-T1: Test-Time Scaling for Streaming Video Generation（Stream-T1：面向流式视频生成的测试时扩展）[02:06] 🔍 OpenSearch-VL: An Open Recipe for Frontier Multimodal Search Agents（OpenSearch-VL：前沿多模态搜索智能体的开放配方）[03:07] 🤖 RLDX-1 Technical Report（RLDX-1技术报告）[04:06] 🚗 HERMES++: Toward a Unified Driving World Model for 3D Scene Understanding and Generation（HERMES++：迈向统一驾驶世界模型，用于3D场景理解与生成）[04:50] ⚙ PhysForge: Generating Physics-Grounded 3D Assets for Interactive Virtual World（PhysForge：为交互式虚拟世界生成物理基础的3D资产）[05:40] 🎨 D-OPSD: On-Policy Self-Distillation for Continuously Tuning Step-Distilled Diffusion Models（D-OPSD：用于持续调优步蒸馏扩散模型的在策略自蒸馏方法）[06:38] 🔍 Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems（重新思考推理密集型检索：评估与推进智能体搜索系统中的检索器）[07:46] ⚡ Lightning Unified Video Editing via In-Context Sparse Attention（基于上下文稀疏注意力的闪电式统一视频编辑）[08:38] 🧠 Awaking Spatial Intelligence in Unified Multimodal Understanding and Generation（在多模态统一理解与生成中唤醒空间智能）[09:27] 🎯 Parameter-Efficient Multi-View Proficiency Estimation: From Discriminative Classification to Generative Feedback（参数高效的多视角技能评估：从判别分类到生成式反馈）[10:11] 🎵 APEX: Large-scale Multi-task Aesthetic-Informed Popularity Prediction for AI-Generated Music（APEX：面向AI生成音乐的大规模多任务审美感知流行度预测）[10:54] 🧠 ResRL: Boosting LLM Reasoning via Negative Sample Projection Residual Reinforcement Learning（ResRL：通过负样本投影残差强化学习提升大语言模型推理能力）[11:47] 🧩 Diffusion Model as a Generalist Segmentation Learner（扩散模型作为通用分割学习器）[12:26] 🔬 MedSkillAudit: A Domain-Specific Audit Framework for Medical Research Agent Skills（MedSkillAudit：面向医学研究智能体技能的领域特定审计框架）【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