Papers
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Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases
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CXL-SpecKV: A Disaggregated FPGA Speculative KV-Cache for Datacenter LLM Serving
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BabyVLM-V2: Toward Developmentally Grounded Pretraining and Benchmarking of Vision Foundation Models
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Omni-Attribute: Open-vocabulary Attribute Encoder for Visual Concept Personalization
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Glance: Accelerating Diffusion Models with 1 Sample
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Sharp Monocular View Synthesis in Less Than a Second
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On Learning-Curve Monotonicity for Maximum Likelihood Estimators
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Matrix-game 2.0: An open-source real-time and streaming interactive world model
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UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving
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Efficiently Reconstructing Dynamic Scenes One D4RT at a Time
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PAVAS: Physics-Aware Video-to-Audio Synthesis
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Chain-of-Image Generation: Toward Monitorable and Controllable Image Generation
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HybridToken-VLM: Hybrid Token Compression for Vision-Language Models
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MM-CoT:A Benchmark for Probing Visual Chain-of-Thought Reasoning in Multimodal Models
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Process Reward Models That Think
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Distribution Matching Variational AutoEncoder
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Skywork-R1V4: Toward Agentic Multimodal Intelligence through Interleaved Thinking with Images and DeepResearch
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UnityVideo: Unified Multi-Modal Multi-Task Learning for Enhancing World-Aware Video Generation
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Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents
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Unsupervised decoding of encoded reasoning using language model interpretability
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EditThinker: Unlocking Iterative Reasoning for Any Image Editor
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Entropy Ratio Clipping as a Soft Global Constraint for Stable Reinforcement Learning
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EgoEdit: Dataset, Real-Time Streaming Model, and Benchmark for Egocentric Video Editing
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Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability
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Semantics Lead the Way: Harmonizing Semantic and Texture Modeling with Asynchronous Latent Diffusion
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SIMA 2: A Generalist Embodied Agent for Virtual Worlds
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SMP: Reusable Score-Matching Motion Priors for Physics-Based Character Control
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Training LLMs for Honesty via Confessions
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DeepSeek-V3.2: Pushing the Frontier of Open Large Language Models
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VIGS-SLAM: Visual Inertial Gaussian Splatting SLAM
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The Art of Scaling Test-Time Compute for Large Language Models
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TUNA: Taming Unified Visual Representations for Native Unified Multimodal Models
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The Adoption and Usage of AI Agents: Early Evidence from Perplexity
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ThetaEvolve: Test-time Learning on Open Problems
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LatBot: Distilling Universal Latent Actions for Vision-Language-Action Models
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Canvas-to-Image: Compositional Image Generation with Multimodal Controls
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LayerComposer: Multi-Human Personalized Generation via Layered Canvas
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The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity
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Early Science Acceleration Experiments with GPT-5
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Anthropic Economic Index report: Uneven geographic and enterprise AI adoption
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Weight-Sparse Transformers Have Interpretable Circuits
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SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
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Tiny Model, Big Logic: Diversity-Driven Optimization Elicits Large-Model Reasoning Ability in VibeThinker-1.5B
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Steering Language Models with Weight ArithmeticUniversity of Copenhagen
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Step-Audio-EditX Technical Report
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s3: You Don't Need That Much Data to Train a Search Agent via RL
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Kimi Linear: An Expressive, Efficient Attention Architecture
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Charts Are Not Images: On the Challenges of Scientific Chart Editing
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Signs of introspection in large language models
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An efficient probabilistic hardware architecture for diffusion-like models
