HuggingFace 每日AI论文速递

duan

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. 23h ago

    2026.08.24 | 大模型超参迁移降本；图工程引领系统协作

    【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： [00:32] 🚀 Let's Scale Step by Step: Compute-Efficient Hyperparameter Transfer for Large-Scale Mixture-of-Experts（让我们一步一步扩展规模：面向大规模混合专家模型的高效超参数迁移）[01:24] 🕸 Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence（大语言模型智能体时代的图工程：从个体智能到系统智能）[02:21] 🤖 OmniAssistBench: Assistant-style Interaction Benchmark for Omni-LLMs（OmniAssistBench：全模态大语言模型的助手式交互基准）[03:17] ⚡ ParaTempo: Efficient Parallel Reasoning via Temporal Confidence（ParaTempo：基于时间置信度的高效并行推理）[04:00] ♾ InfinityEdit: Infinite Video Editing with a Lightweight Edit-Ignition Adapter（InfinityEdit：基于轻量级编辑触发适配器的无限视频编辑）[04:53] 🪙 Every Coin Has Two Sides: On the Dual Nature of Generalization in On-Policy Distillation of Large Language Models（每一枚硬币都有两面：论大型语言模型同策略蒸馏中泛化的双重性）[05:37] 🧩 EviRank: Structured Relevance Evidence for Multimodal Image Re-ranking（EviRank：面向多模态图像重排序的结构化相关性证据）[06:46] 🧠 Beyond Correctness: Benchmarking and Aligning Response Behaviors in Hybrid-Thinking MLLMs（超越正确性：混合思考多模态大语言模型的响应行为基准测试与对齐）[07:45] 🎨 UniSpace: Unified Visual Representation and Scalable Multimodal Modeling（UniSpace：统一视觉表示与可扩展多模态建模）[08:39] 🛒 Towards Faithful Simulation of Human Shopping Behavior（面向人类购物行为的忠实模拟）[09:35] ⚙ AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale（AgentMercury：你的智能体能够大规模合成可验证的商业场景环境）[10:41] ⚡ Daedalus-150M: A Convolution-Attention Hybrid Designed for CPU Inference（Daedalus-150M：为CPU推理设计的卷积-注意力混合模型）[11:35] 🛡 CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety Alignment（CLEAR：面向保持实用性的大语言模型安全对齐的连续潜在适配器路由）[12:42] 📱 Llama-Mobile: Efficient 2.7-Bit Quantization of VLMs（Llama-Mobile：高效2.7比特视觉语言模型量化）[13:32] 🍳 FlavourBench: Ranking Frontier Language Models with Executable Culinary Ground Truth（FlavourBench：用可执行的烹饪真值对前沿语言模型进行排名） 【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. 2d ago

    【周末特辑】8月第4周最火AI论文 | 操控系统升级让AI更准；视频检测难敌生成攻击

    【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： [00:43] TOP1(🔥435) | ⚙ StateM: Reaching 95.3% Raw Accuracy, or a \$15 Frontier Run, on Terminal-Bench 2.1 via Harness Scaling（StateM：通过 Harness 扩展在 Terminal-Bench 2.1 上达到 95.3% 原始准确率，或一次 15 美元的前沿运行）[03:30] TOP2(🔥277) | 🛡 Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination（我们能防御针对现实世界危机事件的AI生成视频攻击吗？对检测器、生成器与社会传播的系统评估）[06:28] TOP3(🔥245) | 🌍 EnvHarness: Awakening Static Worlds for Agent Learning（EnvHarness：为智能体学习唤醒静态世界）[09:45] TOP4(🔥167) | 👁 Self-Supervised Visual On-Policy Distillation（自监督视觉同策略蒸馏）[12:21] TOP5(🔥162) | 🧩 Demystifying Agent Skills: Why They Work-Until They Don't（揭秘智能体技能：它们为何有效——直到失效） 【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. 3d ago

    2026.08.21 | 动态环境适配弱点；任务合成保留源意图

    【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] 🌍 EnvHarness: Awakening Static Worlds for Agent Learning（EnvHarness：为智能体学习唤醒静态世界）[01:28] 🖥 FACET: Preserving Source Intent and Executable State in Terminal Task Synthesis（FACET：在终端任务合成中保留源意图与可执行状态）[02:29] 🧪 SWE-bench Science: Can Coding Agents Resolve Engineering Tasks in Science?（SWE-bench Science：编码智能体能否解决科学领域的工程任务？）[03:15] 🕺 4DAnyone: Create Anyone in 4D from a Casual Monocular Video（4DAnyone：从随意单目视频创建任意人物的4D形象）[04:11] 👥 WithEveryone: Unified Planning and Identity Grounding for Group Image Generation（WithEveryone：面向群像生成的统一规划与身份锚定）[05:01] 🧠 MemTrapBench: Benchmarking Cognitive Traps in LLM Memory Use（MemTrapBench：大语言模型记忆使用中的认知陷阱基准测试）[05:52] 🔄 SkillEvo: Self-Renewing Evolution Gradients from Multi-Turn Interaction Feedback（SkillEvo：来自多轮交互反馈的自我更新进化梯度）[06:50] 🎮 ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models（ForgeWM：面向少步动作条件视频世界模型的渐进式因果训练）[07:48] 🧩 Repo0: Design-Driven Zero-to-All Code Generation（Repo0：设计驱动的从零到全代码生成）[08:46] ⚡ FlashPrefill V2: Block-Sparse Prefill Attention for Long-Context LLM Serving（FlashPrefill V2：面向长上下文大语言模型服务的块稀疏预填充注意力）[09:41] 🧠 Inject, Align, Recover: Staged Post-Training for Retrieval-Free Document Knowledge Internalization（注入、对齐、恢复：面向无检索文档知识内化的分阶段后训练）[10:42] 🤖 EXIMO: VLM Guided Exploration of VLA Policies（EXIMO：视觉语言模型引导的VLA策略探索）[11:36] 🧠 Thinking in a Low-Resource Language: What SFT Builds, What RL Fixes, What Accuracy Cannot See（用低资源语言思考：SFT构建了什么，RL修复了什么，准确率无法看到什么）[12:18] 🎯 Towards Quantifying Benchmark Optimization in ASR Models（面向ASR模型中基准优化的量化研究）[13:20] 🛡 PolicyGuide: From Guarding One Action to Guiding the Whole Workflow for Policy-Compliant LLM Agents（PolicyGuide：从守护单一动作到引导策略合规型LLM智能体的整个工作流） 【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. 4d ago

    2026.08.20 | 闭环进化提升具身智能；验证门控保障工业代码

    【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] 🤖 Zetta $ζ$: An Efficient Closed-Loop Embodied Harness for Self-Evolving Physical Intelligence（Zetta ζ：面向自进化物理智能的高效闭环具身智能体框架）[01:29] ✅ SemaPLC: A Project-Grounded, Verification-Gated Agent Harness for PLC Code Generation（SemaPLC：一种基于项目、以验证为门控的PLC代码生成智能体框架）[02:31] 🎯 SemComp-Bench: Benchmarking Semantic Task Completion in Video Generation（SemComp-Bench：视频生成中语义任务完成的基准测试）[03:28] 🔬 OmniScientist: An Omni-Modal Omni-Discipline AI Scientist（全能科学家：一个全模态、全学科的人工智能科学家）[04:26] 🧠 Co-RL: Unsupervised Reasoning Emerges from Diverse Cohort in Multi-agent RL（Co-RL：多智能体强化学习中多样化群体催生无监督推理）[05:13] 🎮 SPADE: Self-Play in Adaptive Synthetic Executable Environments（SPADE：自适应合成可执行环境中的自博弈）[06:08] 🧪 Training Chemical Plausibility-Aware Large Language Models for Single-Step Retrosynthesis（训练面向单步逆合成的化学合理性感知大语言模型）[07:04] 🎯 Decision-Metric Alignment in Latent World Models: Diagnostics and Action-Conditioned Objectives for MPC Planning（潜在世界模型中的决策度量对齐：诊断与面向MPC规划的动作条件目标）[07:58] 🧬 Training Leaves Traces: Centered Residual Signatures for Language Model Lineage Verification（训练留下痕迹：面向语言模型谱系验证的中心化残差签名）[08:50] 🔁 Looped Language Models Improve Compositional Tool Calling（循环语言模型提升组合式工具调用能力）[09:36] 🖐 SoftVTBench: A Deformation-Aware Visuo-Tactile Dataset and Benchmark for Deformable-Object Manipulation（SoftVTBench：面向可变形物体操作的变形感知视触觉数据集与基准）[10:33] ⚽ FM-Bench: A Benchmark for Long-Horizon Management with Competing Agents（FM-Bench：面向竞争智能体的长时程管理基准）[11:25] ✍ Scaling Creative Writing Beyond Story-Centric Data with Attribute-Guided Genre Expansion（借助属性引导的体裁扩展，将创意写作扩展到故事中心数据之外）[12:15] 🔥 The More Popular, The Harder to Forget: Adaptive Popularity for LLM Unlearning（越热门越难遗忘：大语言模型遗忘的自适应流行度方法）[13:01] 🔍 Temporal Multi-Signal Fusion for Token-Level Hallucination Detection（面向Token级幻觉检测的时序多信号融合） 【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. 5d ago

    2026.08.19 | 进化策略微调省显存；技能应用有双刃剑

    【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] 🧬 Agentic ESOpt: Fine-Tuning Long-Horizon LLM Agents with Minimal GPU Requirements（Agentic ESOpt：以极低GPU需求微调长程LLM智能体）[01:46] 🧩 Demystifying Agent Skills: Why They Work-Until They Don't（揭秘智能体技能：它们为何有效——直到失效）[02:35] 🔬 ASI-Bench: At the Dawn of Artificial Superintelligence（ASI-Bench：人工超级智能的黎明）[03:26] 💻 FreeToken: Efficient Edge-Native MoE Serving with Bandwidth-Adaptive Execution（FreeToken：高效的边缘原生MoE服务与带宽自适应执行）[04:20] 🧭 Embodied-Navigator: Point, Think, Memorize, and Align for Efficient Navigation（具身导航器：指向、思考、记忆与对齐实现高效导航）[05:22] 🎬 AVA-Encoder: Towards Agent-Native Video Representation Learning（AVA-编码器：迈向智能体原生的视频表示学习）[06:12] 🖼 EDITBRIDGE: Towards Faithful and Efficient Ultra-High-Resolution Image Editing（EDITBRIDGE：迈向忠实且高效的超高分辨率图像编辑）[07:13] ⚡ Agent Lightning v1.0: Towards Harnessed Agentic RL（Agent Lightning v1.0：迈向框架化的智能体强化学习）[08:12] 🎥 V-RAE: Rethinking Video Latent Spaces for Generation（V-RAE：重新思考用于生成的视频潜空间）[09:17] 🎬 CoinVE-200K: A Large-Scale High-Quality Dataset for Compositional Instruction-Guided Video Editing（CoinVE-200K：面向组合式指令引导视频编辑的大规模高质量数据集）[10:17] 🛡 DiSCO: Defending text-to-image generation through distribution-guided contrastive prompt optimization（DiSCO：通过分布引导的对比提示优化防御文本到图像生成）[11:22] 🧠 Harness the Memory: A Holistic Evaluation of Memory Substrates in Memory Agents（驾驭记忆：对记忆智能体中记忆底层介质的整体评估）[12:32] 🎨 From Corpora to Co-Evolving Capabilities: Capability-Centric Data Design for Generalist Image Generation（从语料到协同演进的能力：以能力为中心的通用图像生成数据设计）[13:31] 📊 StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows（StartupBench：对通用智能体在市场验证的端到端工作流上的基准测评）[14:34] ⚡ Energy-Guided Flow Matching（能量引导的流匹配） 【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

    2026.08.18 | 智能体化评测让世界模型可诊断；多模态三维生成仍有瓶颈

    【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] 🕵 HarnessEval-W: Agentifying the Evaluation of Visual Worlds（HarnessEval-W：使视觉世界的评估智能体化）[01:32] 🌍 VibeWorlding: Can Multimodal Agents Construct 3D Open Worlds End-to-End?（VibeWorlding：多模态智能体能否端到端构建3D开放世界？）[02:10] ⚡ MOSS-VL Technical Report（MOSS-VL 技术报告）[03:05] 🤖 ClawGym II: Exploring Black-Box RL on Agent Harness（ClawGym II：在智能体框架上探索黑盒强化学习）[03:56] 🎯 Learn What's Left, Not What's Mastered: Saturation Aware Advantage Reweighting for Multi-Reward Policy Optimization（学习尚未掌握的，而非已经精通的：面向多奖励策略优化的饱和感知优势重加权）[04:51] 🤖 UI-Mate: Advancing Open-Weight Foundation GUI Agents with In-Context Demonstrations（UI-Mate：利用上下文演示推进开放权重的基础图形用户界面智能体）[05:46] 🔬 Large Discovery Models: Empirically-grounded Model-Based Open-Ended Search（大型发现模型：基于经验建模的开放式搜索）[06:37] 🎨 An Empirical Study of Training Pixel-Space Text-to-Image Diffusion Models（训练像素空间文本到图像扩散模型的实证研究）[07:31] 🤖 Agentic Transaction: Towards ACID-Compliant Agent Systems（智能体事务：迈向ACID合规的智能体系统）[08:29] 🔬 How Do Agents Fail on AutoResearch: End-to-End Diagnostic Evaluation on 100 Real-World Frontier Research Tasks（智能体如何在自动研究中失败：基于100个真实前沿研究任务的端到端诊断评估）[09:24] ⚡ GenRouter: Unified Workflow Routing for Agentic Image Generation（GenRouter：用于智能体图像生成的统一工作流路由）[10:29] 🧩 MegaParts: Scaling Part-Aware 3D Object Generation to 300 Parts via Token-Efficient Autoregressive Modeling（MegaParts：通过词元高效的自回归建模将部件感知的3D物体生成扩展到300个部件）[11:22] 🧠 Understanding Cognition-Induced Risks in Agentic AI Systems（理解智能体AI系统中认知引发的风险）[12:21] 🔗 Advancing Open and Reproducible Relational Learning: RelArena-$α$, TabPFN-Rel and RPI（推进开放可复现的关系学习：RelArena-α、TabPFN-Rel与RPI）[13:24] 🛡 Ventor-QTest: Threat-Model-Driven Verification of Vendor-Hosted LLM APIs（Ventor-QTest：威胁模型驱动的供应商托管LLM API验证） 【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. Aug 17

    2026.08.17 | 视频检测难防伪；自监督蒸馏促提升

    【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] 🛡 Can We Defend Against AI-Generated Video Attacks on Real-World Crisis Events? A Systematic Evaluation of Detectors, Generators and Social Dissemination（我们能防御针对现实世界危机事件的AI生成视频攻击吗？对检测器、生成器与社会传播的系统评估）[01:27] 👁 Self-Supervised Visual On-Policy Distillation（自监督视觉同策略蒸馏）[02:21] 🤖 Beyond Final Scores: A Systematic Evaluation of Agents for Long-Horizon AI Research and Development（超越最终得分：对长周期AI研究与开发智能体的系统评估）[03:15] 🧠 Intern-S2-Mobius: Foundation Model with Decoupled Knowledge and Reasoning（Intern-S2-Mobius：知识与推理解耦的基础模型）[04:09] 🎮 Marionette: Predicting World States, Rendering Geometry, Painting Appearance（Marionette：预测世界状态，渲染几何，绘制外观）[05:00] 🧠 SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning（SimpleOPD：面向长上下文推理的简单分词器无关在线策略蒸馏）[06:03] 🧠 MobileMem: Learning from a Year of Mobile Experiences（移动记忆：从一年的移动体验中学习）[06:54] 🤖 DFM Mimir v1: An Open HRM Delivering Frontier Performance at 1B Parameters Using Only Permissible Post-Training Data（DFM Mimir v1：仅使用合规后训练数据、以1B参数实现前沿性能的开放HRM）[07:50] 🤸 HumanTracker: Towards Comprehensive and Human-Aligned Motion Tracking Benchmark（HumanTracker：迈向全面且与人类感知一致的运动追踪基准）[08:50] 🎨 CPI-Bench: A Comprehensive,Practical and Intelligent Benchmark for Real-World Image Editing（CPI-Bench：一个面向真实世界图像编辑的全面、实用且智能的基准）[09:48] 🧠 Latent On-Policy Self-Distillation（潜在同策略自蒸馏）[10:53] 🔍 Claim-Level Reliability Assessment for Efficient Test-Time Reasoning（面向高效测试时推理的声明级可靠性评估）[11:43] 🤖 PRM-as-a-Judge 1.5: A Toolkit for Robot Process Assessment（PRM-as-a-Judge 1.5：机器人过程评估工具包）[12:42] 📉 Forecast Collapse in Time-Series Foundation Models（时间序列基础模型中的预测崩溃）[13:41] 🤔 Second Thought: Reasoning in Parallel as LLM Agents Act and Observe（第二思考：LLM智能体在行动与观察时并行推理） 【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. Aug 17

    【周末特辑】8月第3周最火AI论文 | 潜空间推理降本；持续学习促进化

    【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： [00:46] TOP1(🔥639) | 🧠 BDH-CQ: In-Context Learning with Recurrent Latent Reasoning（BDH-CQ：基于循环潜在推理的上下文学习）[03:27] TOP2(🔥332) | 🔄 Macaron-V1: Towards Open Continual Learning with Self-Improvement and Mixture-of-LoRA（Macaron-V1：迈向具备自我改进和LoRA混合的开放持续学习）[06:39] TOP3(🔥278) | 📄 Spark-to-Paper: End-to-End Research Paper Generation as a Composable Skill（从火花到论文：作为可组合技能的端到端研究论文生成）[10:15] TOP4(🔥255) | 🧬 OpenART: Scaling Agent Red Teaming via Open-Ended Environment Evolution（OpenART：通过开放式环境演化扩展智能体红队测试）[13:01] TOP5(🔥208) | 🧠 On-Policy Self-Distillation without Any Supervision（无需任何监督的在线策略自蒸馏） 【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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