HuggingFace 每日AI论文速递 - 节目列表

【赞助商】通勤路上就听AI每周谈。AI每周谈，每周带你回顾上周AI大事传送门 🔗https://www.xiaoyuzhoufm.com/podcast/688a34636f5a275f1cba40fd【目录】本期的 15 篇论文如下：[00:30] 🤖 Agentic Reasoning for Large Language Models（大语言模型的智能体推理）[01:05] 🤖 Rethinking Video Generation Model for the Embodied World（为具身世界重新思考视频生成模型）[01:43] 🤖 Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance（Paper2Rebuttal：一个用于透明作者回复辅助的多智能体框架）[02:34] 📊 MMDeepResearch-Bench: A Benchmark for Multimodal Deep Research Agents（MMDeepResearch-Bench：面向多模态深度研究智能体的基准测试）[03:24] 🧠 Render-of-Thought: Rendering Textual Chain-of-Thought as Images for Visual Latent Reasoning（思维渲染：将文本链式思维渲染为图像以进行视觉潜在推理）[04:03] 📄 Typhoon OCR: Open Vision-Language Model For Thai Document Extraction（台风OCR：面向泰语文档提取的开放视觉语言模型）[04:51] 🛡 FinVault: Benchmarking Financial Agent Safety in Execution-Grounded Environments（FinVault：面向执行环境基准测试的金融智能体安全性评估）[05:41] ⚡ Typhoon ASR Real-time: FastConformer-Transducer for Thai Automatic Speech Recognition（台风ASR实时系统：面向泰语自动语音识别的FastConformer-Transducer模型）[06:45] 🔍 XR: Cross-Modal Agents for Composed Image Retrieval（XR：用于组合图像检索的跨模态智能体）[07:29] 🔊 Quantifying Speaker Embedding Phonological Rule Interactions in Accented Speech Synthesis（量化口音语音合成中说话人嵌入与音系规则的交互作用）[08:19] 🤖 Numina-Lean-Agent: An Open and General Agentic Reasoning System for Formal Mathematics（Numina-Lean-Agent：一个开放通用的形式数学智能体推理系统）[09:15] 🤖 RoboBrain 2.5: Depth in Sight, Time in Mind（RoboBrain 2.5：洞见深度，心系时序）[10:16] 🔍 Lost in the Prompt Order: Revealing the Limitations of Causal Attention in Language Models（迷失于提示顺序：揭示语言模型中因果注意力的局限性）[10:59] 🧠 AgentEHR: Advancing Autonomous Clinical Decision-Making via Retrospective Summarization（AgentEHR：通过回顾性摘要推进自主临床决策）[11:43] 🕳 The Responsibility Vacuum: Organizational Failure in Scaled Agent Systems（责任真空：规模化智能体系统中的组织性失效）【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

【赞助商】通勤路上就听AI每周谈。AI每周谈，每周带你回顾上周AI大事传送门 🔗https://www.xiaoyuzhoufm.com/podcast/688a34636f5a275f1cba40fd【目录】本期的 15 篇论文如下：[00:31] 🤖 Advances and Frontiers of LLM-based Issue Resolution in Software Engineering: A Comprehensive Survey（基于大语言模型的软件工程问题解决：进展、前沿与全面综述）[01:15] 🔮 FutureOmni: Evaluating Future Forecasting from Omni-Modal Context for Multimodal LLMs（FutureOmni：评估多模态大语言模型基于全模态上下文进行未来预测的能力）[02:11] ⚡ Toward Efficient Agents: Memory, Tool learning, and Planning（迈向高效智能体：记忆、工具学习与规划）[02:51] 🤖 Being-H0.5: Scaling Human-Centric Robot Learning for Cross-Embodiment Generalization（Being-H0.5：基于人类中心机器人学习的跨具身泛化扩展）[03:40] 🎬 OmniTransfer: All-in-one Framework for Spatio-temporal Video Transfer（OmniTransfer：时空视频迁移的一体化框架）[04:28] 🧠 $\texttt{MemoryRewardBench}$: Benchmarking Reward Models for Long-Term Memory Management in Large Language Models（《MemoryRewardBench：面向大语言模型长期记忆管理的奖励模型基准评测》）[05:15] 🧠 Think3D: Thinking with Space for Spatial Reasoning（Think3D：利用空间进行空间推理的思考）[06:06] 🫁 UniX: Unifying Autoregression and Diffusion for Chest X-Ray Understanding and Generation（UniX：统一自回归与扩散模型用于胸部X光片理解与生成）[07:08] ⚙ ToolPRMBench: Evaluating and Advancing Process Reward Models for Tool-using Agents（ToolPRMBench：评估和推进工具使用智能体的过程奖励模型）[07:58] 🧠 Aligning Agentic World Models via Knowledgeable Experience Learning（通过知识化经验学习对齐具身世界模型）[08:45] 🤖 Agentic-R: Learning to Retrieve for Agentic Search（Agentic-R：面向智能体搜索的检索学习）[09:25] 🔤 LightOnOCR: A 1B End-to-End Multilingual Vision-Language Model for State-of-the-Art OCR（LightOnOCR：一个用于最先进OCR的10亿参数端到端多语言视觉语言模型）[10:14] 📊 PRiSM: Benchmarking Phone Realization in Speech Models（PRiSM：语音模型中音素实现的基准测试）[11:02] 🔍 On the Evidentiary Limits of Membership Inference for Copyright Auditing（论成员推理在版权审计中的证据性局限）[11:46] 🔒 Fundamental Limitations of Favorable Privacy-Utility Guarantees for DP-SGD（差分隐私随机梯度下降（DP-SGD）中有利隐私-效用保证的基本局限性）【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

【赞助商】通勤路上就听AI每周谈。AI每周谈，每周带你回顾上周AI大事传送门 🔗https://www.xiaoyuzhoufm.com/podcast/688a34636f5a275f1cba40fd【目录】本期的 8 篇论文如下：[00:30] ⚙ ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development（ABC-Bench：面向真实世界开发的智能体后端编码基准测试）[01:15] 🧠 Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge（多路思考：基于词元级分支与合并的推理方法）[02:13] 🕺 CoDance: An Unbind-Rebind Paradigm for Robust Multi-Subject Animation（CoDance：一种用于鲁棒多主体动画的解绑-重绑范式）[03:01] 🧭 The Assistant Axis: Situating and Stabilizing the Default Persona of Language Models（助手轴：定位与稳定语言模型的默认人格）[03:30] 🧠 Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs（虚假奖励悖论：从机制上理解RLVR如何激活LLM中的记忆捷径）[04:21] 🔬 SIN-Bench: Tracing Native Evidence Chains in Long-Context Multimodal Scientific Interleaved Literature（SIN-Bench：在长上下文多模态科学交织文献中追踪原生证据链）[05:08] 🧭 YaPO: Learnable Sparse Activation Steering Vectors for Domain Adaptation（YaPO：用于领域适应的可学习稀疏激活导向向量）[05:56] 🧬 Medical SAM3: A Foundation Model for Universal Prompt-Driven Medical Image Segmentation（Medical SAM3：面向通用提示驱动医学图像分割的基础模型）【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

【赞助商】通勤路上就听AI每周谈。AI每周谈，每周带你回顾上周AI大事传送门 🔗 https://www.xiaoyuzhoufm.com/podcast/688a34636f5a275f1cba40fd【目录】本期的 15 篇论文如下：[00:33] ⚖ Your Group-Relative Advantage Is Biased（你的组相对优势存在偏差）[01:20] 🍎 The Poisoned Apple Effect: Strategic Manipulation of Mediated Markets via Technology Expansion of AI Agents（毒苹果效应：通过AI代理技术扩展对中介市场的战略性操纵）[02:08] 🛠 Unlocking Implicit Experience: Synthesizing Tool-Use Trajectories from Text（解锁隐性经验：从文本合成工具使用轨迹）[03:14] 📊 RubricHub: A Comprehensive and Highly Discriminative Rubric Dataset via Automated Coarse-to-Fine Generation（RubricHub：通过自动化粗到细生成构建的全面且高区分度的评分标准数据集）[04:20] 🤔 When Personalization Misleads: Understanding and Mitigating Hallucinations in Personalized LLMs（当个性化误导时：理解并缓解个性化大语言模型中的幻觉现象）[05:18] 🤖 ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models（ACoT-VLA：面向视觉-语言-动作模型的动作思维链）[06:07] 🚧 BAPO: Boundary-Aware Policy Optimization for Reliable Agentic Search（BAPO：面向可靠智能搜索的边界感知策略优化）[07:04] 🎯 ProFit: Leveraging High-Value Signals in SFT via Probability-Guided Token Selection（ProFit：通过概率引导的令牌选择在SFT中利用高价值信号）[08:01] 🤖 FrankenMotion: Part-level Human Motion Generation and Composition（FrankenMotion：部件级人体运动生成与组合）[08:54] 🧠 Reasoning Models Generate Societies of Thought（推理模型生成思想社会）[09:40] 🤖 PersonalAlign: Hierarchical Implicit Intent Alignment for Personalized GUI Agent with Long-Term User-Centric Records（PersonalAlign：基于长期用户中心化记录的个性化GUI代理的层次化隐式意图对齐）[10:27] 🔍 Building Production-Ready Probes For Gemini（构建适用于Gemini的生产级探针）[11:21] ⚙ PhysRVG: Physics-Aware Unified Reinforcement Learning for Video Generative Models（PhysRVG：基于物理感知统一强化学习的视频生成模型）[12:31] 🧊 ShapeR: Robust Conditional 3D Shape Generation from Casual Captures（ShapeR：从随意拍摄中实现鲁棒的条件式3D形状生成）[13:24] 🚀 AstroReason-Bench: Evaluating Unified Agentic Planning across Heterogeneous Space Planning Problems（AstroReason-Bench：评估异构空间规划问题中的统一智能体规划能力）【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

本期的 5 篇论文如下：[00:29] TOP1(🔥201) | 🔍 Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning（观察、推理与搜索：面向智能体视频推理的开放网络视频深度研究基准）[02:45] TOP2(🔥179) | 👶 BabyVision: Visual Reasoning Beyond Language（BabyVision：超越语言的视觉推理）[05:00] TOP3(🔥158) | 🗺 Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization（借助地图思考：用于地理定位的强化并行地图增强智能体）[07:03] TOP4(🔥140) | 🏙 Urban Socio-Semantic Segmentation with Vision-Language Reasoning（基于视觉语言推理的城市社会语义分割）[09:07] TOP5(🔥134) | 🚀 STEP3-VL-10B Technical Report（STEP3-VL-10B 技术报告）【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

本期的 15 篇论文如下：[00:20] 🚀 STEP3-VL-10B Technical Report（STEP3-VL-10B 技术报告）[01:01] 🏙 Urban Socio-Semantic Segmentation with Vision-Language Reasoning（基于视觉语言推理的城市社会语义分割）[01:42] 💡 Rewarding the Rare: Uniqueness-Aware RL for Creative Problem Solving in LLMs（奖励罕见：面向LLM创造性问题解决的独特性感知强化学习）[02:33] 🤖 Collaborative Multi-Agent Test-Time Reinforcement Learning for Reasoning（用于推理的协作式多智能体测试时强化学习）[03:14] 🧬 Beyond Static Tools: Test-Time Tool Evolution for Scientific Reasoning（超越静态工具：面向科学推理的测试时工具演化）[03:59] 📊 DanQing: An Up-to-Date Large-Scale Chinese Vision-Language Pre-training Dataset（丹青：一个最新的大规模中文视觉语言预训练数据集）[04:39] 🎨 CoF-T2I: Video Models as Pure Visual Reasoners for Text-to-Image Generation（CoF-T2I：将视频模型作为纯视觉推理器用于文本到图像生成）[05:33] 🧠 Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering（迈向超长视野的代理科学：机器学习工程中的认知积累）[06:12] 🤔 Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders（先思后生：基于大语言模型编码器的推理感知文本到图像扩散方法）[06:48] 🔧 MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching（MatchTIR：通过二分图匹配实现工具集成推理的细粒度监督）[07:29] 🛡 A Safety Report on GPT-5.2, Gemini 3 Pro, Qwen3-VL, Doubao 1.8, Grok 4.1 Fast, Nano Banana Pro, and Seedream 4.5（关于GPT-5.2、Gemini 3 Pro、Qwen3-VL、Doubao 1.8、Grok 4.1 Fast、Nano Banana Pro和Seedream 4.5的安全性报告）[08:09] 🛡 ToolSafe: Enhancing Tool Invocation Safety of LLM-based agents via Proactive Step-level Guardrail and Feedback（ToolSafe：通过主动的步骤级护栏与反馈增强基于LLM的智能体的工具调用安全性）[08:59] 🎬 FlowAct-R1: Towards Interactive Humanoid Video Generation（FlowAct-R1：迈向交互式人形视频生成）[09:39] 🎨 VIBE: Visual Instruction Based Editor（VIBE：基于视觉指令的编辑器）[10:09] ⚡ Transition Matching Distillation for Fast Video Generation（用于快速视频生成的过渡匹配蒸馏）【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

本期的 15 篇论文如下：[00:20] 🧬 Controlled Self-Evolution for Algorithmic Code Optimization（用于算法代码优化的受控自进化方法）[00:52] 🧠 MAXS: Meta-Adaptive Exploration with LLM Agents（MAXS：基于大语言模型智能体的元自适应探索）[01:27] 🧠 $A^3$-Bench: Benchmarking Memory-Driven Scientific Reasoning via Anchor and Attractor Activation（A³-Bench：通过锚点与吸引子激活基准测试记忆驱动的科学推理）[02:10] 🔍 DeepResearchEval: An Automated Framework for Deep Research Task Construction and Agentic Evaluation（DeepResearchEval：面向深度研究任务构建与智能体评估的自动化框架）[02:53] 🔬 SkinFlow: Efficient Information Transmission for Open Dermatological Diagnosis via Dynamic Visual Encoding and Staged RL（SkinFlow：通过动态视觉编码与分阶段强化学习实现开放皮肤病诊断的高效信息传输）[03:49] ⚡ Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning（Fast-ThinkAct：基于可言语化潜在规划的高效视觉-语言-动作推理）[04:20] 🧊 OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding（OpenVoxel：无需训练的体素分组与描述，实现开放词汇3D场景理解）[05:03] 🧠 Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning（面向卓越长链思维推理的分布对齐序列蒸馏）[06:04] 🧠 ExpSeek: Self-Triggered Experience Seeking for Web Agents（ExpSeek：面向网络智能体的自触发经验寻求方法）[06:53] ⚠ Are LLMs Vulnerable to Preference-Undermining Attacks (PUA)? A Factorial Analysis Methodology for Diagnosing the Trade-off between Preference Alignment and Real-World Validity（大型语言模型是否易受偏好颠覆攻击？一种诊断偏好对齐与现实有效性权衡的因子分析方法论）[07:30] 🔄 EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines（EvoFSM：基于有限状态机的可控自演化深度研究框架）[08:04] 🧠 Imagine-then-Plan: Agent Learning from Adaptive Lookahead with World Models（想象而后规划：基于世界模型的自适应前瞻智能体学习）[08:46] 🌐 TranslateGemma Technical Report（TranslateGemma技术报告）[09:22] 🧠 The AI Hippocampus: How Far are We From Human Memory?（AI海马体：我们距离人类记忆还有多远？）[10:03] 🎯 FocusUI: Efficient UI Grounding via Position-Preserving Visual Token Selection（FocusUI：通过位置保持的视觉令牌选择实现高效用户界面定位）【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

本期的 15 篇论文如下：[00:20] 🌍 Solar Open Technical Report（Solar Open 技术报告）[00:54] 🤖 User-Oriented Multi-Turn Dialogue Generation with Tool Use at scale（面向用户的大规模多轮对话生成与工具使用）[01:39] 🧠 MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences（MemGovern：通过从受治理的人类经验中学习来增强代码代理）[02:11] 🖱 ShowUI-$π$: Flow-based Generative Models as GUI Dexterous Hands（ShowUI-π：基于流的生成模型作为GUI灵巧手）[02:44] 🧠 KnowMe-Bench: Benchmarking Person Understanding for Lifelong Digital Companions（KnowMe-Bench：面向终身数字伴侣的人物理解基准测试）[03:15] 🏆 ArenaRL: Scaling RL for Open-Ended Agents via Tournament-based Relative Ranking（ArenaRL：通过基于锦标赛的相对排名扩展开放智能体强化学习）[04:07] 🧠 Ministral 3（Ministral 3系列模型）[04:51] ⚖ The Confidence Dichotomy: Analyzing and Mitigating Miscalibration in Tool-Use Agents（置信度二分法：分析与缓解工具使用智能体中的校准错误）[05:31] 🧭 VLingNav: Embodied Navigation with Adaptive Reasoning and Visual-Assisted Linguistic Memory（VLingNav：基于自适应推理与视觉辅助语言记忆的具身导航）[06:24] 🎬 End-to-End Video Character Replacement without Structural Guidance（无需结构引导的端到端视频角色替换）[07:06] 🎬 Motion Attribution for Video Generation（视频生成中的运动归因）[07:36] 🚀 SnapGen++: Unleashing Diffusion Transformers for Efficient High-Fidelity Image Generation on Edge Devices（SnapGen++：释放扩散变换器在边缘设备上实现高效高保真图像生成）[08:12] ⚖ JudgeRLVR: Judge First, Generate Second for Efficient Reasoning（JudgeRLVR：先判断后生成的高效推理方法）[08:46] 📊 Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization（对齐文本、代码与视觉：基于多目标强化学习的文本到可视化生成框架）[09:25] 🔍 Towards Comprehensive Stage-wise Benchmarking of Large Language Models in Fact-Checking（迈向大型语言模型在事实核查中的全面分阶段基准测试）【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

本期的 15 篇论文如下：[00:20] 🔍 Watching, Reasoning, and Searching: A Video Deep Research Benchmark on Open Web for Agentic Video Reasoning（观察、推理与搜索：面向智能体视频推理的开放网络视频深度研究基准）[01:01] 👶 BabyVision: Visual Reasoning Beyond Language（BabyVision：超越语言的视觉推理）[01:45] 🚀 PaCoRe: Learning to Scale Test-Time Compute with Parallel Coordinated Reasoning（PaCoRe：通过并行协调推理学习扩展测试时计算）[02:24] 🧠 X-Coder: Advancing Competitive Programming with Fully Synthetic Tasks, Solutions, and Tests（X-Coder：基于全合成任务、解决方案与测试推进竞争性编程）[03:03] ⚡ MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head（MHLA：通过令牌级多头机制恢复线性注意力的表达能力）[03:41] ⚡ GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts（GlimpRouter：通过瞥见思维令牌实现高效协同推理）[04:17] 🤖 OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agent（OS-Symphony：一个用于鲁棒且通用的计算机使用智能体的整体框架）[05:20] 📉 Lost in the Noise: How Reasoning Models Fail with Contextual Distractors（迷失于噪声之中：推理模型如何因上下文干扰物而失效）[06:00] 🚀 Beyond Hard Masks: Progressive Token Evolution for Diffusion Language Models（超越硬掩码：扩散语言模型的渐进式令牌演化）[06:30] 🧠 Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human-Agent Interaction（可控内存使用：在长期人机交互中平衡锚定与创新）[07:10] 🚗 DrivingGen: A Comprehensive Benchmark for Generative Video World Models in Autonomous Driving（DrivingGen：自动驾驶生成式视频世界模型的综合基准）[07:58] 🤖 MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era（MegaFlow：面向智能体时代的大规模分布式编排系统）[08:26] 🎨 Boosting Latent Diffusion Models via Disentangled Representation Alignment（通过解耦表征对齐提升潜在扩散模型）[09:08] 🤔 What Users Leave Unsaid: Under-Specified Queries Limit Vision-Language Models（用户未言明之处：欠明确的查询限制视觉语言模型）[09:45] 🔧 ET-Agent: Incentivizing Effective Tool-Integrated Reasoning Agent via Behavior Calibration（ET-Agent：通过行为校准激励有效的工具集成推理智能体）【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

本期的 15 篇论文如下：[00:20] 🗺 Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization（借助地图思考：用于地理定位的强化并行地图增强智能体）[01:03] 🧠 MMFormalizer: Multimodal Autoformalization in the Wild（MMFormalizer：面向真实世界的多模态自动形式化方法）[01:38] 🧬 The Molecular Structure of Thought: Mapping the Topology of Long Chain-of-Thought Reasoning（思维分子结构：长链思维推理的拓扑映射）[02:21] 🎭 CaricatureGS: Exaggerating 3D Gaussian Splatting Faces With Gaussian Curvature（CaricatureGS：基于高斯曲率夸张3D高斯泼溅人脸）[03:04] 🔍 Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards（证据链构建：基于引文感知评分奖励的深度搜索智能体鲁棒强化学习）[03:47] ⚙ EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis（EnvScaler：通过程序化合成扩展LLM智能体的工具交互环境）[04:22] 🔮 Can We Predict Before Executing Machine Learning Agents?（我们能在执行前预测机器学习智能体的行为吗？）[04:59] 🖼 AgentOCR: Reimagining Agent History via Optical Self-Compression（AgentOCR：通过光学自压缩重构智能体历史）[05:39] 🎬 VideoAR: Autoregressive Video Generation via Next-Frame & Scale Prediction（VideoAR：通过下一帧与尺度预测的自回归视频生成）[06:29] 🔍 Qwen3-VL-Embedding and Qwen3-VL-Reranker: A Unified Framework for State-of-the-Art Multimodal Retrieval and Ranking（Qwen3-VL-Embedding与Qwen3-VL-Reranker：用于最先进多模态检索与排序的统一框架）[07:23] 🔍 Illusions of Confidence? Diagnosing LLM Truthfulness via Neighborhood Consistency（自信的幻觉？通过邻域一致性诊断大语言模型的真实性）[08:07] 🔄 Orient Anything V2: Unifying Orientation and Rotation Understanding（Orient Anything V2：统一物体朝向与旋转理解的增强基础模型）[08:37] 🔍 SmartSearch: Process Reward-Guided Query Refinement for Search Agents（SmartSearch：面向搜索代理的流程奖励引导查询优化框架）[09:23] ⚙ Goal Force: Teaching Video Models To Accomplish Physics-Conditioned Goals（目标力：教导视频模型实现物理条件目标）[10:11] 📊 Same Claim, Different Judgment: Benchmarking Scenario-Induced Bias in Multilingual Financial Misinformation Detection（相同声明，不同判断：多语言金融虚假信息检测中场景诱导偏见的基准测试）【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

本期的 5 篇论文如下：[00:39] TOP1(🔥126) | 📈 GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization（GDPO：面向多奖励强化学习优化的组奖励解耦归一化策略优化）[02:31] TOP2(🔥108) | 🌍 NeoVerse: Enhancing 4D World Model with in-the-wild Monocular Videos（NeoVerse：利用野外单目视频增强4D世界模型）[04:40] TOP3(🔥107) | 🤖 Youtu-Agent: Scaling Agent Productivity with Automated Generation and Hybrid Policy Optimization（Youtu-Agent：通过自动化生成与混合策略优化扩展智能体生产力）[07:00] TOP4(🔥93) | 🔍 InfiniDepth: Arbitrary-Resolution and Fine-Grained Depth Estimation with Neural Implicit Fields（InfiniDepth：基于神经隐式场的任意分辨率与细粒度深度估计）[09:40] TOP5(🔥87) | 🎬 LTX-2: Efficient Joint Audio-Visual Foundation Model（LTX-2：高效的联合视听基础模型）【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

本期的 15 篇论文如下：[00:21] 📈 GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization（GDPO：面向多奖励强化学习优化的组奖励解耦归一化策略优化）[01:05] ⚖ Learnable Multipliers: Freeing the Scale of Language Model Matrix Layers（可学习的乘数：释放语言模型矩阵层的尺度）[01:33] 🌙 RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes（RL-AWB：基于深度强化学习的低光照夜间场景自动白平衡校正）[02:07] 🤖 RoboVIP: Multi-View Video Generation with Visual Identity Prompting Augments Robot Manipulation（RoboVIP：基于视觉身份提示的多视角视频生成增强机器人操作）[02:56] 🤝 RelayLLM: Efficient Reasoning via Collaborative Decoding（RelayLLM：基于协作解码的高效推理框架）[03:31] 🌲 AT$^2$PO: Agentic Turn-based Policy Optimization via Tree Search（AT²PO：基于树搜索的智能体回合制策略优化）[04:24] 🤔 VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice（VideoAuto-R1：通过思考一次、回答两次实现视频自动推理）[04:57] 🎬 VerseCrafter: Dynamic Realistic Video World Model with 4D Geometric Control（VerseCrafter：具有4D几何控制的动态逼真视频世界模型）[05:34] 🔍 The Illusion of Specialization: Unveiling the Domain-Invariant "Standing Committee" in Mixture-of-Experts Models（专业化的幻象：揭示混合专家模型中的领域不变“常务委员会”）[06:09] 🎯 Few Tokens Matter: Entropy Guided Attacks on Vision-Language Models（少数令牌至关重要：针对视觉语言模型的熵引导攻击）[06:40] 🎥 Plenoptic Video Generation（全光视频生成）[07:12] ⚖ Agent-as-a-Judge（智能体作为评审者）[07:43] 📄 DocDancer: Towards Agentic Document-Grounded Information Seeking（DocDancer：面向智能体化的文档驱动信息检索）[08:20] 🧠 Re-Align: Structured Reasoning-guided Alignment for In-Context Image Generation and Editing（Re-Align：基于结构化推理引导对齐的上下文图像生成与编辑）[09:05] 🧠 DiffCoT: Diffusion-styled Chain-of-Thought Reasoning in LLMs（DiffCoT：大语言模型中的扩散风格思维链推理）【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