HuggingFace 每日AI论文速递

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每天10分钟，带您快速了解当日HuggingFace热门AI论文内容。每个工作日更新，欢迎订阅。 📢播客节目在小宇宙、Apple Podcast平台搜索【HuggingFace 每日AI论文速递】 🖼另外还有图文版，可在小红书搜索并关注【AI速递】

  1. 10h ago

    【周末特辑】8月第1周最火AI论文 | Kimi K3开源前沿智能；AskChem论断级化学检索

    【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 5 篇论文如下： [00:44] TOP1(🔥431) | 🧠 Kimi K3: Open Frontier Intelligence（Kimi K3：开放前沿智能）[03:17] TOP2(🔥292) | 🧪 AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis（AskChem：以论断为中心的化学文献综合基础设施）[05:53] TOP3(🔥281) | 🤖 Qwen-UI-Agent Technical Report: Toward Next-Generation Real-World Centric Foundation GUI Agents（Qwen-UI-Agent技术报告：迈向下一代以真实世界为中心的基础GUI智能体）[08:46] TOP4(🔥256) | 🧠 Metis: Memory Foundation Model（Metis：记忆基础模型）[11:40] TOP5(🔥192) | 🤖 Progress Reward Modeling for Robotic Learning: A Comprehensive Survey（机器人学习的进度奖励建模：一项全面综述） 【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

  2. 3d ago

    2026.07.30 | TurboVLA实现消费级显卡实时操控；CoRT精细化信用分配提升指令遵循。

    【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： [00:33] ⚡ TurboVLA: Real-Time Vision-Language-Action Model at 32 Hz on an RTX 4090 with 1 GB VRAM（TurboVLA：在RTX 4090上以32Hz频率运行且显存占用低于1GB的实时视觉-语言-动作模型）[01:36] 🎯 CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization（CoRT：用于令牌级准则引导策略优化的反事实重放）[02:31] 🤖 HumanCLAW: Can Vision-Language Models Act Through a Body?（HumanCLAW：视觉-语言模型能否通过身体行动？）[03:41] 🧬 DecoEvo: Score-Decoupled Co-Evolution of Solver and Rubric-Generator Skills in Text Space（DecoEvo：文本空间中求解器与评估生成器技能的解耦协同进化）[04:39] 🧠 CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition（CLBench-V：从基础定位到知识获取的多模态上下文学习评估）[05:32] 🧩 CAST: Game Solvers as Turn-Level Teachers for LLM Agents（CAST：游戏求解器作为LLM智能体的回合级教师）[06:28] 🧠 SkillRise: Agentic Reinforcement Learning for Cross-Task Skill Evolution（技能崛起：面向跨任务技能演化的智能体强化学习）[07:18] 🎮 StatePlay: State-Aware Game World Models for Mechanics-Consistent Generation（StatePlay：状态感知的游戏世界模型用于机制一致的内容生成）[08:05] 📊 OmegaUse-OfficeVal: Benchmarking LLM Agents on Long-Horizon Office-Suite Tasks with Economic Grounding（OmegaUse-OfficeVal：基于经济基准评估LLM智能体在长期办公套件任务中的表现）[09:08] 🤖 Can AI agents conduct open-ended AI research? Early evidence from two case studies（AI智能体能否进行开放式的AI研究？来自两个案例研究的早期证据）[10:04] 🛡 GPT-Red: Automated Red Teaming via Self-Play at Scale（GPT-Red：通过大规模自我对弈实现自动化红队测试）[11:04] 🎬 Explicit Layer Modeling for Video Object Insertion and Layer Decomposition（显式层建模用于视频对象插入与层分解）[12:01] 🕵 StealthBench: Measuring Operational Stealth in Autonomous Offensive-Security Agents（StealthBench：衡量自主攻击安全代理的操作隐蔽性）[12:54] 🧠 Memory for Large Language Models（大型语言模型的记忆机制）[13:48] 📜 Grading the Narrators: An Isnad-Rijal Framework for Claim-Level Provenance in Multi-Agent Knowledge Systems（为叙述者评级：面向多智能体知识系统中声明级溯源的一种伊斯纳德-里贾尔框架） 【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

  3. 4d ago

    2026.07.29 | 高保真数据训练策略，逼近真机效果；相关性动态引导搜索，精准高效检索

    【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： [00:31] 🤖 HiFi-UMI: Learning Deployable Manipulation Policies from High-Fidelity UMI Data Alone（HiFi-UMI：仅从高保真UMI数据学习可部署的操作策略）[01:31] 🔍 A New Role for Relevance: Guiding Corpus Interaction in Agentic Search（相关性的新角色：在智能体搜索中引导语料库交互）[02:20] 🎨 ReDesign: Recovering Editable Design Structures from Images via Agentic Decomposition（ReDesign：通过智能体分解从图像中恢复可编辑的设计结构）[03:07] 🧠 Keep It InMind: Benchmarking the Implicit-Association Blind Spot in Agent Memory（保持铭记：基准测试代理记忆中的内隐关联盲点）[03:56] 🏃 Pass the Baton: Trajectory-Relayed On-Policy Distillation（传递接力棒：轨迹中继的在线策略蒸馏）[04:47] ⚡ Mage-VL: An Efficient Codec-Native Streaming Multimodal Foundation Model（Mage-VL：一种高效的编解码器原生流式多模态基础模型）[05:49] 🧩 CodeNib: A Multi-View Data System for Serving Repository Context to Coding Agents（CodeNib：一种为编码智能体提供仓库上下文服务的多视图数据系统）[06:48] 🌍 Wonder: Video World Model Done Better（Wonder：更优的视频世界模型）[07:51] 👁 PerceptionBench: Evaluating Atomic Visual Perception in Multimodal Large Language Models（感知基准：评估多模态大语言模型中的原子视觉感知能力）[08:44] 🔍 Novel Claim or Déjà Vu? Rethinking "Contamination-Free'' Dynamic Evaluation for Multimodal Automated Fact-Checking（新颖主张还是似曾相识？重新思考多模态自动事实核查的“无污染”动态评估）[09:40] 🛡 Shieldstral（盾星）[10:41] 🔀 MODUS: Decoder-Only Any-to-Any Modeling of Diverse Modalities（MODUS：仅解码器的任意模态到任意模态多样化建模）[11:41] ⚡ Parallel Decoding Distillation for Fast Image and Video Generation（并行解码蒸馏：面向快速图像与视频生成的方法）[12:23] 🎬 Visual prompt engineering for video models（视频模型的视觉提示工程）[13:16] 🎯 OmniDelta: Skill-Driven Budget Allocation for Token Compression in OmniLLMs（OmniDelta：面向全模态大语言模型令牌压缩的技能驱动预算分配方法） 【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

  4. 5d ago

    2026.07.28 | Kimi K3开源模型性能领先；JarvisHub画布框架革新创意协作

    【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： [00:33] 🧠 Kimi K3: Open Frontier Intelligence（Kimi K3：开放前沿智能）[01:22] 🎨 JarvisHub: An Open Harness for Canvas-Native Multimodal Creative Agents（JarvisHub：一个面向画布原生多模态创意代理的开放框架）[02:20] 🤖 From Proprietary to Open-Source: Bridging the Distribution Gap via Multi-Agent Protocol Distillation in Agentic Search（从专有到开源：通过多智能体协议蒸馏弥合智能搜索中的分布差距）[03:18] 🤖 Progress Reward Modeling for Robotic Learning: A Comprehensive Survey（机器人学习的进度奖励建模：一项全面综述）[04:17] 🤖 StateAct: Program State, before Pixels, for Long-Horizon Computer-Use Agents（StateAct：面向长周期计算机使用代理，程序状态优先于像素）[05:23] 🧠 Rethinking Classifier-Free Guidance in On-Policy Diffusion Distillation（重新思考在线策略扩散蒸馏中的无分类器引导）[06:27] 🗼 Data Pyramid for Embodied Manipulation（具身操作的数据金字塔）[07:33] ⚡ Sol-Attn: Accelerating Video Generation Inference via On-the-Fly Attention Sparsification（Sol-Attn：通过即时注意力稀疏化加速视频生成推理）[08:37] 🎬 OmniVAE: An Audio-Video VAE with Cross-Modal Alignment for Joint Generation（OmniVAE：一种具有跨模态对齐的音频-视频VAE，用于联合生成）[09:30] 🧠 The Physics of Multi-Turn Long-Horizon Planning: From Pre-training to Post-training via Single- and Multi-Teacher On-Policy Agentic Distillation（多轮长程规划中的物理学：通过单教师与多教师在线策略智能体蒸馏从预训练到后训练）[10:26] 👗 Oxygen-TryOn: Fashion-Native Foundation Model for Any-item Virtual Try-On（氧气试穿：面向时尚的原生基础模型，实现任意物品虚拟试穿）[11:17] 🦎 Chamaileon: Cross-Context Binder Design with Contextualized Modeling and Mixed Sampling（Chamaileon：基于情境化建模与混合采样的跨情境结合剂设计）[12:11] 🔮 dRAE: Representation Autoencoder with Hyper-Spherical Codes（dRAE：超球面码的表示自编码器）[13:09] 🧩 DecoupleMix: Decoupled Ratio Search and Convex Allocation for Scalable VLM Data Recipes（解耦混合：用于可扩展VLM数据配方的解耦比率搜索与凸分配）[14:08] 🏥 ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding（ClinFusion：一种面向整体医学理解的以视觉为中心的多模态大语言模型系统） 【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

  5. 6d ago

    2026.07.27 | 技能自我对弈推动模型能力前沿；智能体上下文管理优化成本与推理。

    【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 14 篇论文如下： [00:32] 🔄 Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills（技能自我对弈：通过协同进化技能推动大语言模型能力前沿）[01:22] 🧠 Agentic Context Management: Solving Agent Memory and Cost by Treating Them as Lifecycle and Architecture Problems（智能体上下文管理：将代理记忆与成本视为生命周期与架构问题）[02:18] 🤖 Molt: A Scalable PyTorch-Native Training Framework for Agentic Reinforcement Learning（Molt：一个可扩展的、原生PyTorch的智能体强化学习训练框架）[03:07] 🧪 DataPrep-Bench: Benchmarking LLMs as Training Data Preparators（数据准备基准：将大语言模型作为训练数据准备工具的基准测试）[04:04] 📊 Scaling Native Multimodal Pre-Training From Scratch（从头开始扩展原生多模态预训练）[04:54] 🎯 Three-Body Scattering for Generative Modeling（用于生成建模的三体散射）[05:48] 🌐 LAMAR: An Open Language-Aware Multilingual Alignment Reranker（LAMAR：一种开放的语言感知多语言对齐重排序器）[06:46] 🧠 Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making（多头潜在控制：大语言模型智能体决策的统一接口）[07:43] 🎛 Spectral Prior for Reducing Exposure Bias in Diffusion Models（用于减少扩散模型曝光偏差的频谱先验）[08:34] 🧠 IDEAgent: Agentic Quality-Diversity Search for Research Idea Generation（IDEAgent：面向研究创意生成的主体性质量-多样性搜索）[09:27] 🎯 SceneActBench: Can Agents Act on the 3D Scenes They See?（场景动作基准：智能体能否对所见的三维场景采取行动？）[10:37] 🔄 Closing the Loop: Training-Free Revisit Consistency for Autoregressive Generative Rendering（闭环：无需训练的循环一致性自回归生成渲染）[11:31] 🔊 Multimodal Speaker Verification as a Threat to Speaker Anonymization（多模态说话人验证对说话人匿名化的威胁）[12:26] 🧠 VisCo: Leveraging Large Language Models as Intrinsic Encoders for Visual Token Compression（VisCo：利用大语言模型作为视觉标记压缩的内在编码器） 【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

  6. 6d ago

    【周末特辑】7月第4周最火AI论文 | 单卡GPU实现无限交互世界；三维定位让机器人更智能

    【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 5 篇论文如下： [00:47] TOP1(🔥297) | 🌍 ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU（ABot-World-0：在单个桌面GPU上实现无限交互式世界展开）[02:39] TOP2(🔥197) | 🤖 RynnBrain 1.1: Towards More Capable and Generalizable Embodied Foundation Model（RynnBrain 1.1：迈向更强大和更通用的具身基础模型）[04:48] TOP3(🔥165) | ⏱ TimeLens2: Generalist Video Temporal Grounding with Multimodal LLMs（TimeLens2：基于多模态大语言模型的通用视频时间定位）[06:35] TOP4(🔥144) | 🔍 RAGU: A Multi-Step GraphRAG Engine with a Compact Domain-Adapted LLM（RAGU：一种具有紧凑领域自适应大语言模型的多步图检索增强生成引擎）[09:10] TOP5(🔥141) | 🔍 AREX: Towards a Recursively Self-Improving Agent for Deep Research（AREX：迈向递归自我改进的深度研究智能体） 【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

  7. Jul 24

    2026.07.24 | AREX验证驱动递归改进；ReferTrack先指认后跟踪

    【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： [00:32] 🔍 AREX: Towards a Recursively Self-Improving Agent for Deep Research（AREX：迈向递归自我改进的深度研究智能体）[01:34] 🤖 ReferTrack: Referring Then Tracking for Embodied Visual Tracking（ReferTrack：面向具身视觉追踪的“先指认后跟踪”范式）[02:20] 📚 K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs（K12-KGraph：一个面向课程对齐的知识图谱，用于基准测试和训练教育大语言模型）[03:13] 🖼 Visual Contrastive Self-Distillation（视觉对比自蒸馏）[04:02] 🗺 Show, Don't Tell: Evaluating Spatial Cognition in Generative Pixels Rather Than LLM Text（展示而非叙述：在生成像素而非LLM文本中评估空间认知）[04:51] 🎨 Color Pass-Through via Camera-Display Coupling（通过相机-显示耦合的色彩直通）[05:45] 🛠 Tencent WorkBuddy Bench: A Multi-Domain Coding-Agent Benchmark with Contamination-Resistant Task Construction（腾讯工作伙伴基准：一个具有抗污染任务构建的多领域编码智能体基准）[06:43] 🧭 LLMs Get Lost in Evolving User Intent（大语言模型在用户意图演变中迷失方向）[07:33] 🎥 Self-Supervised Learning of Structured Dynamics from Videos（从视频中自监督学习结构化动力学）[08:28] 🧠 Sample-Efficient Learning from Agent Experience（从智能体经验中进行样本高效学习）[09:28] 🌀 Recurrent Sinusoidal INRs for Efficient High-Fidelity Representation（用于高效高保真表示的递归正弦隐式神经表示）[10:27] 🌍 Streaming Multi-Agent Autoregressive Diffusion Model with World State Registers（流式多智能体自回归扩散模型与世界状态寄存器）[11:28] 🤖 Robostral Navigate（罗博斯特拉导航）[12:18] 🎭 Predictive Divergence Masks for LLM RL（预测性散度掩码用于大语言模型强化学习）[13:04] 🎬 SANA-Video 2.0: Hybrid Linear Attention with Attention Residuals for Efficient Video Generation（SANA-Video 2.0：混合线性注意力与注意力残差实现高效视频生成） 【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

  8. Jul 22

    2026.07.22 | 实时游戏渲染提速56倍；AI数据管道成本降七成。

    【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： [00:34] 🎮 Generative World Renderer at the Speed of Play（以游戏速度运行的生成式世界渲染器）[01:27] 🔀 DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines（数据流驾驭平台：一种用于构建可编辑LLM数据管道的接地代码代理平台）[02:16] 🔍 Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers（文本模板标记是扩散Transformer中的隐式语义寄存器）[03:04] ⚡ Mage-Flow: An Efficient Native-Resolution Foundation Model for Image Generation and Editing（Mage-Flow：一种用于图像生成与编辑的高效原生分辨率基础模型）[03:52] 🌍 AlayaWorld: Interactive Long-Horizon World Modeling -- Full Technical Report（AlayaWorld：交互式长时域世界建模——完整技术报告）[04:49] 🤖 Stale but Stable: Staleness-Adaptive Trust Regions for Stabilizing Asynchronous Reinforcement Learning（陈旧但稳定：面向异步强化学习稳定化的陈旧性自适应信任区域方法）[05:52] 🌍 ABot-World-0: Infinite Interactive World Rollout on a Single Desktop GPU（ABot-World-0：在单个桌面GPU上实现无限交互式世界展开）[06:49] 📊 SciForma: Structure-Faithful Generation of Scientific Diagrams（SciForma：科学图表的结构忠实生成）[07:45] 🔍 AgentDebugX: An Open-Source Toolkit for Failure Observability, Attribution, and Recovery in LLM Agents（AgentDebugX：用于LLM Agent故障可观测性、归因与恢复的开源工具包）[08:41] ⚡ HPD-Parsing: Hierarchical Parallel Document Parsing（HPD-Parsing：层级并行文档解析）[09:38] 📊 Two-Level Meta-Rubrics for Evaluating Open-Ended Generation: GAMUT, a Benchmark for Factual Completeness（用于评估开放生成的两级元评价标准：GAMUT，一个面向事实完整性的基准测试）[10:33] 🧠 ISO: An RLVR-Native Optimization Stack（ISO：一种原生于RLVR的优化栈）[11:41] 🎙 Transcription Policy as a Latent Variable: Activating Controllable Verbatim ASR with Word-Level Timing（转录策略作为潜在变量：通过词级时序激活可控的逐字语音识别）[12:43] 🎓 EduPanel: A Three-Agent LLM Judge for Teaching Videos -- Reliability, Complementarity, and Human Trust Calibration（EduPanel：一种用于教学视频的三智能体LLM评审器——可靠性、互补性与人类信任校准）[13:29] 🎬 Masked Visual Actions for Unified World Modeling（掩蔽视觉动作：用于统一世界建模） 【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

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每天10分钟，带您快速了解当日HuggingFace热门AI论文内容。每个工作日更新，欢迎订阅。 📢播客节目在小宇宙、Apple Podcast平台搜索【HuggingFace 每日AI论文速递】 🖼另外还有图文版，可在小红书搜索并关注【AI速递】

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