2026.03.03 | 自适应扩展省算力;令牌秒变动效

HuggingFace 每日AI论文速递

【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] ⚡ From Scale to Speed: Adaptive Test-Time Scaling for Image Editing(从规模到速度:图像编辑的自适应测试时扩展) [01:16] 🎨 OmniLottie: Generating Vector Animations via Parameterized Lottie Tokens(OmniLottie:通过参数化Lottie令牌生成矢量动画) [01:57] 🤖 OpenAutoNLU: Open Source AutoML Library for NLU(OpenAutoNLU:面向自然语言理解的开源自动机器学习库) [02:37] 🧩 MMR-Life: Piecing Together Real-life Scenes for Multimodal Multi-image Reasoning(MMR-Life:拼凑真实生活场景以实现多模态多图像推理) [03:32] 📊 RubricBench: Aligning Model-Generated Rubrics with Human Standards(RubricBench:对齐模型生成的评分标准与人类标准) [04:16] 🧠 CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning(CHIMERA:用于通用大语言模型推理的紧凑合成数据集) [05:04] 🔍 VGGT-Det: Mining VGGT Internal Priors for Sensor-Geometry-Free Multi-View Indoor 3D Object Detection(VGGT-Det:挖掘VGGT内部先验实现无需传感器几何的多视角室内3D目标检测) [06:08] 🤖 CoVe: Training Interactive Tool-Use Agents via Constraint-Guided Verification(CoVe:通过约束引导验证训练交互式工具使用智能体) [06:50] ⚙ SWE-rebench V2: Language-Agnostic SWE Task Collection at Scale(SWE-rebench V2:大规模语言无关的软件工程任务集合) [07:37] 📊 Spectral Condition for $μ$P under Width-Depth Scaling(宽度-深度缩放下 $μ$P 的光谱条件) [08:21] 🎬 WorldStereo: Bridging Camera-Guided Video Generation and Scene Reconstruction via 3D Geometric Memories(WorldStereo:通过3D几何记忆桥接相机引导视频生成与场景重建) [09:08] 🧠 LLaDA-o: An Effective and Length-Adaptive Omni Diffusion Model(LLaDA-o:一种高效且长度自适应的全能扩散模型) [10:11] 🧠 Efficient RLVR Training via Weighted Mutual Information Data Selection(基于加权互信息数据选择的高效RLVR训练方法) [10:48] 🧠 Learn Hard Problems During RL with Reference Guided Fine-tuning(通过参考引导微调在强化学习中学习难题) [11:51] 🔬 When Does RL Help Medical VLMs? Disentangling Vision, SFT, and RL Gains(强化学习何时助力医学视觉语言模型?解构视觉、监督微调与强化学习的增益) 【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

13分钟
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2026.03.02 | dLLM统一扩散框架;SpatialScore让AI读懂空间

HuggingFace 每日AI论文速递

【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: [00:29] 🛠 dLLM: Simple Diffusion Language Modeling(dLLM:简单的扩散语言建模) [01:15] 🧠 Enhancing Spatial Understanding in Image Generation via Reward Modeling(通过奖励建模增强图像生成中的空间理解) [02:11] 🌍 Recovered in Translation: Efficient Pipeline for Automated Translation of Benchmarks and Datasets(在翻译中恢复:自动化基准测试与数据集翻译的高效流程) [03:08] ⚡ CUDA Agent: Large-Scale Agentic RL for High-Performance CUDA Kernel Generation(CUDA Agent:用于高性能CUDA内核生成的大规模智能体强化学习系统) [03:59] 🎬 Mode Seeking meets Mean Seeking for Fast Long Video Generation(模式寻求与均值寻求相遇:实现快速长视频生成) [04:44] 🧩 Compositional Generalization Requires Linear, Orthogonal Representations in Vision Embedding Models(组合泛化要求视觉嵌入模型具备线性正交表示) [05:31] ⚡ LK Losses: Direct Acceptance Rate Optimization for Speculative Decoding(LK损失函数:用于推测解码的直接接受率优化) [06:21] 🔍 CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era(CiteAudit:你引用了它,但你读过吗?大语言模型时代科学参考文献验证基准) [07:16] ⚡ Accelerating Masked Image Generation by Learning Latent Controlled Dynamics(通过学习潜在控制动力学加速掩码图像生成) [08:00] 🧠 Memory Caching: RNNs with Growing Memory(记忆缓存:具有增长记忆能力的循环神经网络) [08:38] 📊 InfoNCE Induces Gaussian Distribution(InfoNCE诱导高斯分布) [09:28] 🧠 Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks(Ref-Adv:探索多模态大语言模型在指代表达任务中的视觉推理能力) [10:28] ⚡ SenCache: Accelerating Diffusion Model Inference via Sensitivity-Aware Caching(SenCache:基于敏感度感知的缓存加速扩散模型推理) [11:15] 🎬 LongVideo-R1: Smart Navigation for Low-cost Long Video Understanding(LongVideo-R1:面向低成本长视频理解的智能导航) [11:53] ⚡ Vectorizing the Trie: Efficient Constrained Decoding for LLM-based Generative Retrieval on Accelerators(向量化字典树:面向加速器的高效约束解码用于基于LLM的生成式检索) 【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

12分钟
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2026.02.27 | 诊断补课反超72B;三一致性考趴世界模型

HuggingFace 每日AI论文速递

【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] 🔍 From Blind Spots to Gains: Diagnostic-Driven Iterative Training for Large Multimodal Models(从盲点到增益:诊断驱动的迭代训练用于大型多模态模型) [01:16] 🌍 The Trinity of Consistency as a Defining Principle for General World Models(一致性三位一体:作为通用世界模型定义原则) [01:49] 🧭 MobilityBench: A Benchmark for Evaluating Route-Planning Agents in Real-World Mobility Scenarios(MobilityBench:一个用于评估现实世界移动场景中路径规划智能体的基准) [02:52] 🧠 OmniGAIA: Towards Native Omni-Modal AI Agents(OmniGAIA:迈向原生全模态人工智能体) [03:44] 🔍 Imagination Helps Visual Reasoning, But Not Yet in Latent Space(想象力助力视觉推理,但尚未在潜在空间中实现) [04:26] 🧠 Exploratory Memory-Augmented LLM Agent via Hybrid On- and Off-Policy Optimization(基于混合在线与离线策略优化的探索性记忆增强大语言模型智能体) [05:26] 🛡 AgentDropoutV2: Optimizing Information Flow in Multi-Agent Systems via Test-Time Rectify-or-Reject Pruning(AgentDropoutV2:通过测试时修正或拒绝剪枝优化多智能体系统中的信息流) [06:18] 🔍 Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization(多搜索,少思考:重新思考长视野智能搜索的效率与泛化性) [06:54] 🩺 MediX-R1: Open Ended Medical Reinforcement Learning(MediX-R1:开放式医学强化学习框架) [07:42] ⚡ Accelerating Diffusion via Hybrid Data-Pipeline Parallelism Based on Conditional Guidance Scheduling(基于条件引导调度的混合数据-流水线并行加速扩散模型) [08:43] 🤖 EmbodMocap: In-the-Wild 4D Human-Scene Reconstruction for Embodied Agents(EmbodMocap:面向具身智能体的野外4D人-场景重建) [09:41] 🎮 AI Gamestore: Scalable, Open-Ended Evaluation of Machine General Intelligence with Human Games(AI游戏商店:通过人类游戏对机器通用智能进行可扩展、开放式评估) [10:26] 🚶 Causal Motion Diffusion Models for Autoregressive Motion Generation(因果运动扩散模型用于自回归运动生成) [11:09] ⚡ veScale-FSDP: Flexible and High-Performance FSDP at Scale(veScale-FSDP:大规模灵活且高性能的FSDP) [11:51] 🚗 Risk-Aware World Model Predictive Control for Generalizable End-to-End Autonomous Driving(面向可泛化端到端自动驾驶的风险感知世界模型预测控制) 【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

13分钟
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3周前

2026.02.26 | 分子图生成首破99%化学有效性;DreamID-Omni把多人脸音色混剪错配率砍到8%

HuggingFace 每日AI论文速递

【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] ⚗ MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models(MolHIT:基于分层离散扩散模型推进分子图生成) [01:08] 🎭 DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation(DreamID-Omni:可控人本音视频生成统一框架) [01:49] 🧪 ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning(ARLArena:一个用于稳定智能体强化学习的统一框架) [02:40] ⚡ HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation(HyTRec:一种用于长行为序列推荐的混合时序感知注意力架构) [03:22] 🎬 SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model(SkyReels-V4:多模态视频-音频生成、修复与编辑模型) [04:10] 🎮 Solaris: Building a Multiplayer Video World Model in Minecraft(Solaris:在《我的世界》中构建多人视频世界模型) [05:20] 🤖 GUI-Libra: Training Native GUI Agents to Reason and Act with Action-aware Supervision and Partially Verifiable RL(GUI-Libra:通过动作感知监督和部分可验证强化学习训练原生GUI智能体进行推理与行动) [06:19] 🎬 JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation(JavisDiT++:面向联合音视频生成的统一建模与优化) [07:11] 🌐 Image Generation with a Sphere Encoder(使用球面编码器的图像生成) [07:51] 🧭 World Guidance: World Modeling in Condition Space for Action Generation(世界引导:基于条件空间的世界建模用于动作生成) [08:31] 🔍 NanoKnow: How to Know What Your Language Model Knows(NanoKnow:如何知晓你的语言模型知道什么) [09:10] ⚡ DualPath: Breaking the Storage Bandwidth Bottleneck in Agentic LLM Inference(DualPath:打破智能体化大语言模型推理中的存储带宽瓶颈) [10:11] 🧠 The Design Space of Tri-Modal Masked Diffusion Models(三模态掩码扩散模型的设计空间研究) [10:46] 🔤 VecGlypher: Unified Vector Glyph Generation with Language Models(VecGlypher:基于语言模型的统一矢量字形生成) [11:20] ⚡ SeaCache: Spectral-Evolution-Aware Cache for Accelerating Diffusion Models(SeaCache:一种用于加速扩散模型的频谱演化感知缓存) 【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

12分钟
99+
3周前

2026.02.25 | 数据工程赋能小模型;轻量重排刷新长文本SOTA

HuggingFace 每日AI论文速递

【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: [00:29] 🖥 On Data Engineering for Scaling LLM Terminal Capabilities(论扩展大型语言模型终端能力的数据工程) [01:20] 🧠 Query-focused and Memory-aware Reranker for Long Context Processing(面向长文本处理的查询聚焦与记忆感知重排序器) [02:12] 🔗 From Perception to Action: An Interactive Benchmark for Vision Reasoning(从感知到行动:视觉推理的交互式基准) [03:04] 🤖 PyVision-RL: Forging Open Agentic Vision Models via RL(PyVision-RL:通过强化学习锻造开放的智能体视觉模型) [03:52] 📊 LongCLI-Bench: A Preliminary Benchmark and Study for Long-horizon Agentic Programming in Command-Line Interfaces(LongCLI-Bench:命令行界面中长视野智能体编程的初步基准与研究) [04:41] 🔍 DREAM: Deep Research Evaluation with Agentic Metrics(DREAM:基于智能体指标的深度研究评估) [05:39] 📈 Conv-FinRe: A Conversational and Longitudinal Benchmark for Utility-Grounded Financial Recommendation(Conv-FinRe:面向效用驱动的金融推荐对话式与长期性基准) [06:49] ⚙ QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models(QuantVLA:面向视觉-语言-动作模型的尺度校准后训练量化) [07:35] 🤖 Learning from Trials and Errors: Reflective Test-Time Planning for Embodied LLMs(从试错中学习:具身大语言模型的反思性测试时规划) [08:20] 🚀 The Diffusion Duality, Chapter II: $Ψ$-Samplers and Efficient Curriculum(扩散对偶性第二章:Ψ采样器与高效课程学习) [09:05] 🧩 Communication-Inspired Tokenization for Structured Image Representations(面向结构化图像表征的通信启发式分词方法) [10:02] 🤖 Aletheia tackles FirstProof autonomously(Aletheia自主攻克首届FirstProof挑战) [10:42] ⚡ Untied Ulysses: Memory-Efficient Context Parallelism via Headwise Chunking(解绑的尤利西斯:通过注意力头分块实现内存高效上下文并行) [11:34] ⚡ The Art of Efficient Reasoning: Data, Reward, and Optimization(高效推理的艺术:数据、奖励与优化) [12:13] 🔒 Adaptive Text Anonymization: Learning Privacy-Utility Trade-offs via Prompt Optimization(自适应文本匿名化:通过提示优化学习隐私与效用的权衡) 【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

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2026.02.24 | VBVR百万视频补推理教材;VLANeXt十二配方炼成VLA

HuggingFace 每日AI论文速递

【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 14 篇论文如下: [00:31] 🧠 A Very Big Video Reasoning Suite(一个超大规模视频推理套件) [01:16] 🧪 VLANeXt: Recipes for Building Strong VLA Models(VLANeXt:构建强大视觉-语言-动作模型的实践指南) [02:06] 🧭 ManCAR: Manifold-Constrained Latent Reasoning with Adaptive Test-Time Computation for Sequential Recommendation(ManCAR:用于序列推荐的具有自适应测试时计算的流形约束潜在推理) [02:54] 🤖 TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics(TOPReward:将标记概率作为机器人学的隐藏零样本奖励) [03:45] 📱 Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device(Mobile-O:移动设备上的统一多模态理解与生成) [04:40] 🧠 DSDR: Dual-Scale Diversity Regularization for Exploration in LLM Reasoning(DSDR:用于大语言模型推理探索的双尺度多样性正则化) [05:54] 🎯 Learning Cross-View Object Correspondence via Cycle-Consistent Mask Prediction(通过循环一致掩码预测学习跨视角物体对应关系) [06:44] 🎻 SkillOrchestra: Learning to Route Agents via Skill Transfer(SkillOrchestra:通过技能迁移学习路由智能体) [07:28] 🤖 RoboCurate: Harnessing Diversity with Action-Verified Neural Trajectory for Robot Learning(RoboCurate:利用动作验证神经轨迹的多样性进行机器人学习) [08:02] 🚀 K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model(K-Search:通过协同演化内在世界模型进行LLM内核生成) [08:43] 🤖 SimVLA: A Simple VLA Baseline for Robotic Manipulation(SimVLA:用于机器人操作的简单视觉-语言-动作基线) [09:29] 🧠 tttLRM: Test-Time Training for Long Context and Autoregressive 3D Reconstruction(tttLRM:基于测试时训练的长上下文自回归三维重建) [10:23] 🗜 Nacrith: Neural Lossless Compression via Ensemble Context Modeling and High-Precision CDF Coding(Nacrith:基于集成上下文建模与高精度CDF编码的神经无损压缩) [11:08] 🧬 AAVGen: Precision Engineering of Adeno-associated Viral Capsids for Renal Selective Targeting(AAVGen:用于肾脏选择性靶向的腺相关病毒衣壳精准工程) 【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

12分钟
99+
3周前

2026.02.23 | VESPO防抖离线RL;推理模型学会“点到为止”

HuggingFace 每日AI论文速递

【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 10 篇论文如下: [00:40] ⚖ VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training(VESPO:用于稳定离策略LLM训练的变分序列级软策略优化) [01:45] 💭 Does Your Reasoning Model Implicitly Know When to Stop Thinking?(你的推理模型是否隐含地知道何时停止思考?) [02:44] 🎮 Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control(生成现实:基于交互式视频生成与手部和相机控制的人本世界模拟) [03:24] 🤖 EgoPush: Learning End-to-End Egocentric Multi-Object Rearrangement for Mobile Robots(EgoPush:面向移动机器人的端到端自我中心多物体重排学习) [04:11] 🤖 SARAH: Spatially Aware Real-time Agentic Humans(SARAH:具备空间感知能力的实时拟人化智能体) [05:05] 🎬 VidEoMT: Your ViT is Secretly Also a Video Segmentation Model(VidEoMT:你的ViT模型暗中也是一个视频分割模型) [05:51] ✂ Sink-Aware Pruning for Diffusion Language Models(面向扩散语言模型的汇点感知剪枝) [06:36] 🎯 Selective Training for Large Vision Language Models via Visual Information Gain(基于视觉信息增益的大型视觉语言模型选择性训练) [07:18] 🧮 DeepVision-103K: A Visually Diverse, Broad-Coverage, and Verifiable Mathematical Dataset for Multimodal Reasoning(DeepVision-103K:一个视觉多样、覆盖广泛且可验证的多模态推理数学数据集) [08:16] 🤖 Learning Smooth Time-Varying Linear Policies with an Action Jacobian Penalty(通过动作雅可比惩罚学习平滑时变线性策略) 【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

9分钟
99+
3周前

2026.02.20 | 砍95%注意力画质反升;边压缩边生成FID 1.4

HuggingFace 每日AI论文速递

【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] ⚡ SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning(SpargeAttention2:通过混合Top-k+Top-p掩码与蒸馏微调实现可训练的稀疏注意力) [01:27] 🧠 Unified Latents (UL): How to train your latents(统一隐变量(UL):如何训练你的隐变量) [02:05] 🤖 Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents(Mobile-Agent-v3.5:多平台基础图形用户界面智能体) [02:58] 🚗 "What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing(“你在做什么?”:多步骤处理过程中来自具身化LLM车载助手的中间反馈效果研究) [03:45] ⚠ Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5(前沿人工智能风险管理框架实践:风险分析技术报告 v1.5) [04:40] ⚡ DDiT: Dynamic Patch Scheduling for Efficient Diffusion Transformers(DDiT:面向高效扩散变换器的动态补丁调度) [05:39] 🧠 Arcee Trinity Large Technical Report(Arcee Trinity 大型技术报告) [06:23] 🖥 Computer-Using World Model(计算机使用世界模型) [07:20] 🔬 ArXiv-to-Model: A Practical Study of Scientific LM Training(ArXiv到模型:科学语言模型训练的实践研究) [07:59] 🧬 Discovering Multiagent Learning Algorithms with Large Language Models(利用大语言模型发现多智能体学习算法) [08:42] 🖐 TactAlign: Human-to-Robot Policy Transfer via Tactile Alignment(TactAlign:通过触觉对齐实现人机策略迁移) [09:24] 🤖 FRAPPE: Infusing World Modeling into Generalist Policies via Multiple Future Representation Alignment(FRAPPE:通过多未来表示对齐将世界建模注入通用策略) [10:08] 🧠 World Models for Policy Refinement in StarCraft II(用于《星际争霸II》策略优化的世界模型) [10:46] ⚡ 2Mamba2Furious: Linear in Complexity, Competitive in Accuracy(2Mamba2Furious:线性复杂度,媲美准确度) [11:19] 🤿 StereoAdapter-2: Globally Structure-Consistent Underwater Stereo Depth Estimation(StereoAdapter-2:全局结构一致的水下立体深度估计) 【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

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HuggingFace 每日AI论文速递

【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 14 篇论文如下: [00:30] ⚡ SLA2: Sparse-Linear Attention with Learnable Routing and QAT(SLA2:具有可学习路由和量化感知训练的稀疏线性注意力) [01:16] 🤖 Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation(面向开放词汇视觉移动操作的人形机器人末端执行器控制学习) [02:02] 🧠 RynnBrain: Open Embodied Foundation Models(RynnBrain:开放式具身基础模型) [02:46] 🔑 Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality(空书架还是丢钥匙?回忆是参数化事实性的瓶颈) [03:33] 🕺 SAM 3D Body: Robust Full-Body Human Mesh Recovery(SAM 3D 人体:鲁棒的全身体三维人体网格重建) [04:41] 🤝 Multi-agent cooperation through in-context co-player inference(通过上下文共玩家推断实现多智能体合作) [05:28] 📊 MAEB: Massive Audio Embedding Benchmark(MAEB:大规模音频嵌入基准测试) [06:04] 🤖 World Action Models are Zero-shot Policies(世界行动模型是零样本策略) [06:44] 🔬 Towards a Science of AI Agent Reliability(迈向AI智能体可靠性的科学) [07:20] 🧠 MMA: Multimodal Memory Agent(MMA:多模态记忆智能体) [08:09] 🚀 Optimizing Few-Step Generation with Adaptive Matching Distillation(通过自适应匹配蒸馏优化少步生成) [08:56] 🧭 Learning Situated Awareness in the Real World(在现实世界中学习情境感知) [09:28] ⚠ Visual Memory Injection Attacks for Multi-Turn Conversations(面向多轮对话的视觉记忆注入攻击) [10:10] 🤖 BiManiBench: A Hierarchical Benchmark for Evaluating Bimanual Coordination of Multimodal Large Language Models(BiManiBench:用于评估多模态大语言模型双手协调能力的层次化基准) 【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

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2026.02.18 | GLM-5智能体工程登顶50分;SAE可解释性遭随机基线打脸

HuggingFace 每日AI论文速递

【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] 🤖 GLM-5: from Vibe Coding to Agentic Engineering(GLM-5:从氛围编码到智能体工程) [01:11] 🔍 Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?(稀疏自编码器的合理性检验:SAE是否优于随机基线?) [01:57] 🤖 Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook(人工智能代理社会是否会出现社会化现象?以Moltbook为例的研究) [02:41] 🧪 ResearchGym: Evaluating Language Model Agents on Real-World AI Research(ResearchGym:在真实世界AI研究上评估语言模型智能体) [03:54] 🧠 UniT: Unified Multimodal Chain-of-Thought Test-time Scaling(UniT:统一多模态思维链测试时扩展) [04:50] ⚙ COMPOT: Calibration-Optimized Matrix Procrustes Orthogonalization for Transformers Compression(COMPOT:面向Transformer压缩的校准优化矩阵正交Procrustes方法) [05:38] 🧠 Revisiting the Platonic Representation Hypothesis: An Aristotelian View(重访柏拉图式表征假说:一种亚里士多德式的观点) [06:23] ⚖ Understanding vs. Generation: Navigating Optimization Dilemma in Multimodal Models(理解与生成:多模态模型中的优化困境探索) [07:11] 🎭 On Surprising Effectiveness of Masking Updates in Adaptive Optimizers(论掩码更新在自适应优化器中的惊人有效性) [07:56] ⚕ ClinAlign: Scaling Healthcare Alignment from Clinician Preference(ClinAlign:基于临床医生偏好的医疗对齐扩展) [08:51] ⚖ STAPO: Stabilizing Reinforcement Learning for LLMs by Silencing Rare Spurious Tokens(STAPO:通过抑制罕见伪标记来稳定大语言模型的强化学习) [09:37] 🔍 Visual Persuasion: What Influences Decisions of Vision-Language Models?(视觉说服:什么影响了视觉-语言模型的决策?) [10:32] ⚡ Learning Native Continuation for Action Chunking Flow Policies(学习原生连续性以实现动作分块流策略) [11:19] 🎥 Geometry-Aware Rotary Position Embedding for Consistent Video World Model(面向一致视频世界模型的几何感知旋转位置嵌入) [12:07] 🧠 TAROT: Test-driven and Capability-adaptive Curriculum Reinforcement Fine-tuning for Code Generation with Large Language Models(TAROT:基于测试驱动和能力自适应课程强化微调的大语言模型代码生成方法) 【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

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