【本日の論文】
1. PixelSmile: Toward Fine-Grained Facial Expression Editing
https://huggingface.co/papers/2603.25728
2. Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
https://huggingface.co/papers/2603.25040
3. Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration
https://huggingface.co/papers/2603.24800
4. RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models
https://huggingface.co/papers/2603.25502
5. Voxtral TTS
https://huggingface.co/papers/2603.25551

【本日の論文】
1. PixelSmile: Toward Fine-Grained Facial Expression Editing
https://huggingface.co/papers/2603.25728
2. Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
https://huggingface.co/papers/2603.25040
3. RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models
https://huggingface.co/papers/2603.25502
4. Calibri: Enhancing Diffusion Transformers via Parameter-Efficient Calibration
https://huggingface.co/papers/2603.24800
5. MACRO: Advancing Multi-Reference Image Generation with Structured Long-Context Data
https://huggingface.co/papers/2603.25319

【本日の論文】
1. CUA-Suite: Massive Human-annotated Video Demonstrations for Computer-Use Agents
https://huggingface.co/papers/2603.24440
2. EVA: Efficient Reinforcement Learning for End-to-End Video Agent
https://huggingface.co/papers/2603.22918
3. UI-Voyager: A Self-Evolving GUI Agent Learning via Failed Experience
https://huggingface.co/papers/2603.24533
4. T-MAP: Red-Teaming LLM Agents with Trajectory-aware Evolutionary Search
https://huggingface.co/papers/2603.22341
5. Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
https://huggingface.co/papers/2603.24472

【本日の論文】
1. MinerU-Diffusion: Rethinking Document OCR as Inverse Rendering via Diffusion Decoding
https://huggingface.co/papers/2603.22458
2. WildWorld: A Large-Scale Dataset for Dynamic World Modeling with Actions and Explicit State toward Generative ARPG
https://huggingface.co/papers/2603.23497
3. SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning
https://huggingface.co/papers/2603.23483
4. From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents
https://huggingface.co/papers/2603.22386
5. PEARL: Personalized Streaming Video Understanding Model
https://huggingface.co/papers/2603.20422

【本日の論文】
1. Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models
https://huggingface.co/papers/2603.22212
2. Speed by Simplicity: A Single-Stream Architecture for Fast Audio-Video Generative Foundation Model
https://huggingface.co/papers/2603.21986
3. LongCat-Flash-Prover: Advancing Native Formal Reasoning via Agentic Tool-Integrated Reinforcement Learning
https://huggingface.co/papers/2603.21065
4. Look Where It Matters: High-Resolution Crops Retrieval for Efficient VLMs
https://huggingface.co/papers/2603.16932
5. OpenResearcher: A Fully Open Pipeline for Long-Horizon Deep Research Trajectory Synthesis
https://huggingface.co/papers/2603.20278

【本日の論文】
1. HopChain: Multi-Hop Data Synthesis for Generalizable Vision-Language Reasoning
https://huggingface.co/papers/2603.17024
2. Astrolabe: Steering Forward-Process Reinforcement Learning for Distilled Autoregressive Video Models
https://huggingface.co/papers/2603.17051
3. TerraScope: Pixel-Grounded Visual Reasoning for Earth Observation
https://huggingface.co/papers/2603.19039
4. ProactiveBench: Benchmarking Proactiveness in Multimodal Large Language Models
https://huggingface.co/papers/2603.19466
5. FlowScene: Style-Consistent Indoor Scene Generation with Multimodal Graph Rectified Flow
https://huggingface.co/papers/2603.19598

【本日の論文】
1. Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding
https://huggingface.co/papers/2603.19235
2. SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing
https://huggingface.co/papers/2603.19228
3. 3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
https://huggingface.co/papers/2603.18524
4. FASTER: Rethinking Real-Time Flow VLAs
https://huggingface.co/papers/2603.19199
5. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
https://huggingface.co/papers/2603.19220

【本日の論文】
1. Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding
https://huggingface.co/papers/2603.19235
2. SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing
https://huggingface.co/papers/2603.19228
3. 3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
https://huggingface.co/papers/2603.18524
4. FASTER: Rethinking Real-Time Flow VLAs
https://huggingface.co/papers/2603.19199
5. Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation
https://huggingface.co/papers/2603.19220

【本日の論文】
1. Generation Models Know Space: Unleashing Implicit 3D Priors for Scene Understanding
https://huggingface.co/papers/2603.19235
2. SAMA: Factorized Semantic Anchoring and Motion Alignment for Instruction-Guided Video Editing
https://huggingface.co/papers/2603.19228
3. FASTER: Rethinking Real-Time Flow VLAs
https://huggingface.co/papers/2603.19199
4. 3DreamBooth: High-Fidelity 3D Subject-Driven Video Generation Model
https://huggingface.co/papers/2603.18524
5. Bridging Semantic and Kinematic Conditions with Diffusion-based Discrete Motion Tokenizer
https://huggingface.co/papers/2603.19227

【本日の論文】
1. MetaClaw: Just Talk -- An Agent That Meta-Learns and Evolves in the Wild
https://huggingface.co/papers/2603.17187
2. Video-CoE: Reinforcing Video Event Prediction via Chain of Events
https://huggingface.co/papers/2603.14935
3. MosaicMem: Hybrid Spatial Memory for Controllable Video World Models
https://huggingface.co/papers/2603.17117
4. Alignment Makes Language Models Normative, Not Descriptive
https://huggingface.co/papers/2603.17218
5. Complementary Reinforcement Learning
https://huggingface.co/papers/2603.17621