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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
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【目录】
本期的 15 篇论文如下：
[] 🔄 Does On-Policy Distillation Really Distill? From Noisy Teacher to Self-Improvement（在线策略蒸馏真的在蒸馏吗？从噪声教师到自我改进）
[] 🎬 DreamX-Creator: Democratizing Native Audio-Video Generation at 2K Resolution（DreamX-Creator：在2K分辨率下实现原生音视频生成的民主化）
[] 🧠 GenFirst: Generation Before Reconstruction for Stable End-to-End Latent Generative Modeling（GenFirst：先生成后重建的稳定端到端潜在生成建模）
[] 🧩 Lucida: Parse, Generate, and Place for Composable Real-to-Sim Scene Modeling（Lucida：面向可组合真实到仿真场景建模的解析、生成与放置）
[] ⚖ Normalized Low-Rank Adaptation（归一化低秩自适应）
[] 🎯 PaperGym: Rubric-Centered Evolution for Research-Plan Generation（PaperGym：以评分标准为中心的研究计划生成进化）
[] ⚡ On the Design of Qwen3.8-Next Architecture: Evaluation, Efficiency, and Training Stability（论Qwen3.8-Next架构的设计：评估、效率与训练稳定性）
[] 🎓 CogEvol: Towards Efficient and Reliable Learning Environment Generation（CogEvol：迈向高效可靠的学习环境生成）
[] 🧭 LightNav-0: Eliciting VLM Spatial Intelligence for Generalist Embodied Navigation（LightNav-0：激发视觉语言模型空间智能，实现通用具身导航）
[] 🧩 SHAPE of Chain-of-Thought in Math Reasoning（数学推理中思维链的SHAPE框架）
[] 🧠 Scaling Large Reasoning Models beyond Human Supervision: A Path toward Superintelligence（超越人类监督的大规模推理模型扩展：通往超级智能之路）
[] 🧩 Super Library Agent: Joint Generation and Maintenance of Multiple Applications Beyond the Single Codebase（超级库智能体：超越单一代码库的多应用联合生成与维护）
[] 🤖 Evaluating the Hidden Costs of Personalization in Large Language Models（评估大型语言模型中个性化的隐藏成本）
[] 📋 Learning to Evaluate Before Improving: Automatic Rubric Induction for Automatic Research Agents（先评估后改进：面向自动科研智能体的自动评分标准归纳）
[] 🎭 Lies We Can See: Joint Verbal and Non-Verbal Deception by VLM Agents in Embodied Social Interactions（看得见的谎言：具身社会交互中VLM智能体的言语与非言语联合欺骗）
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小红书: AI速递
