【本日の論文】
1. HyTRec: A Hybrid Temporal-Aware Attention Architecture for Long Behavior Sequential Recommendation
https://huggingface.co/papers/2602.18283
2. MolHIT: Advancing Molecular-Graph Generation with Hierarchical Discrete Diffusion Models
https://huggingface.co/papers/2602.17602
3. DreamID-Omni: Unified Framework for Controllable Human-Centric Audio-Video Generation
https://huggingface.co/papers/2602.12160
4. SkyReels-V4: Multi-modal Video-Audio Generation, Inpainting and Editing model
https://huggingface.co/papers/2602.21818
5. ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
https://huggingface.co/papers/2602.21534

【本日の論文】
1. On Data Engineering for Scaling LLM Terminal Capabilities
https://huggingface.co/papers/2602.21193
2. Query-focused and Memory-aware Reranker for Long Context Processing
https://huggingface.co/papers/2602.12192
3. PyVision-RL: Forging Open Agentic Vision Models via RL
https://huggingface.co/papers/2602.20739
4. From Perception to Action: An Interactive Benchmark for Vision Reasoning
https://huggingface.co/papers/2602.21015
5. Test-Time Training with KV Binding Is Secretly Linear Attention
https://huggingface.co/papers/2602.21204

【本日の論文】
1. A Very Big Video Reasoning Suite
https://huggingface.co/papers/2602.20159
2. VLANeXt: Recipes for Building Strong VLA Models
https://huggingface.co/papers/2602.18532
3. SkillOrchestra: Learning to Route Agents via Skill Transfer
https://huggingface.co/papers/2602.19672
4. TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics
https://huggingface.co/papers/2602.19313
5. Mobile-O: Unified Multimodal Understanding and Generation on Mobile Device
https://huggingface.co/papers/2602.20161

【本日の論文】
1. VESPO: Variational Sequence-Level Soft Policy Optimization for Stable Off-Policy LLM Training
https://huggingface.co/papers/2602.10693
2. Does Your Reasoning Model Implicitly Know When to Stop Thinking?
https://huggingface.co/papers/2602.08354
3. Generated Reality: Human-centric World Simulation using Interactive Video Generation with Hand and Camera Control
https://huggingface.co/papers/2602.18422
4. Decoding as Optimisation on the Probability Simplex: From Top-K to Top-P (Nucleus) to Best-of-K Samplers
https://huggingface.co/papers/2602.18292
5. Spanning the Visual Analogy Space with a Weight Basis of LoRAs
https://huggingface.co/papers/2602.15727

【本日の論文】
1. SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
https://huggingface.co/papers/2602.13515
2. Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
https://huggingface.co/papers/2602.16855
3. Unified Latents (UL): How to train your latents
https://huggingface.co/papers/2602.17270
4. Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
https://huggingface.co/papers/2602.14457
5. Arcee Trinity Large Technical Report
https://huggingface.co/papers/2602.17004

【本日の論文】
1. SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
https://huggingface.co/papers/2602.13515
2. Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
https://huggingface.co/papers/2602.16855
3. Unified Latents (UL): How to train your latents
https://huggingface.co/papers/2602.17270
4. Frontier AI Risk Management Framework in Practice: A Risk Analysis Technical Report v1.5
https://huggingface.co/papers/2602.14457
5. Arcee Trinity Large Technical Report
https://huggingface.co/papers/2602.17004

【本日の論文】
1. SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning
https://huggingface.co/papers/2602.13515
2. Unified Latents (UL): How to train your latents
https://huggingface.co/papers/2602.17270
3. Mobile-Agent-v3.5: Multi-platform Fundamental GUI Agents
https://huggingface.co/papers/2602.16855
4. "What Are You Doing?": Effects of Intermediate Feedback from Agentic LLM In-Car Assistants During Multi-Step Processing
https://huggingface.co/papers/2602.15569
5. Calibrate-Then-Act: Cost-Aware Exploration in LLM Agents
https://huggingface.co/papers/2602.16699

【本日の論文】
1. SLA2: Sparse-Linear Attention with Learnable Routing and QAT
https://huggingface.co/papers/2602.12675
2. RynnBrain: Open Embodied Foundation Models
https://huggingface.co/papers/2602.14979
3. Learning Humanoid End-Effector Control for Open-Vocabulary Visual Loco-Manipulation
https://huggingface.co/papers/2602.16705
4. CADEvolve: Creating Realistic CAD via Program Evolution
https://huggingface.co/papers/2602.16317
5. Empty Shelves or Lost Keys? Recall Is the Bottleneck for Parametric Factuality
https://huggingface.co/papers/2602.14080

【本日の論文】
1. Sanity Checks for Sparse Autoencoders: Do SAEs Beat Random Baselines?
https://huggingface.co/papers/2602.14111
2. SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks
https://huggingface.co/papers/2602.12670
3. GLM-5: from Vibe Coding to Agentic Engineering
https://huggingface.co/papers/2602.15763
4. Does Socialization Emerge in AI Agent Society? A Case Study of Moltbook
https://huggingface.co/papers/2602.14299
5. ResearchGym: Evaluating Language Model Agents on Real-World AI Research
https://huggingface.co/papers/2602.15112

【本日の論文】
1. Experiential Reinforcement Learning
https://huggingface.co/papers/2602.13949
2. DeepImageSearch: Benchmarking Multimodal Agents for Context-Aware Image Retrieval in Visual Histories
https://huggingface.co/papers/2602.10809
3. REDSearcher: A Scalable and Cost-Efficient Framework for Long-Horizon Search Agents
https://huggingface.co/papers/2602.14234
4. STATe-of-Thoughts: Structured Action Templates for Tree-of-Thoughts
https://huggingface.co/papers/2602.14265
5. Query as Anchor: Scenario-Adaptive User Representation via Large Language Model
https://huggingface.co/papers/2602.14492