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Learning Diverse Skills for Behavior Models with Mixture of Experts
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Utonia: Toward One Encoder for All Point Clouds
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LaST-VLA: Thinking in Latent Spatio-Temporal Space for Vision-Language-Action in Autonomous Driving
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EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models
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MSJoE: Jointly Evolving MLLM and Sampler for Efficient Long-Form Video Understanding
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ThinkOmni: Lifting Textual Reasoning to Omni-modal Scenarios via Guidance Decoding
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UFO: Unifying Feed-Forward and Optimization-based Methods for Large Driving Scene Modeling
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From Pairs to Sequences: Track-Aware Policy Gradients for Keypoint Detection
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VGGDrive: Empowering Vision-Language Models with Cross-View Geometric Grounding for Autonomous Driving
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Xiaomi-Robotics-0: An Open-Sourced Vision-Language-Action Model with Real-Time Execution
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HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model
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Federated Balanced Learning
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DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving
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MindDrive: A Vision-Language-Action Model for Autonomous Driving via Online Reinforcement Learning
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From Chains to Graphs: Self-Structured Reasoning for General-Domain LLMs
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Pixel-Perfect Visual Geometry Estimation
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DriveLaW:Unifying Planning and Video Generation in a Latent Driving World
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Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for Few-step High-Fidelity Audio Generation
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GroundingME: Exposing the Visual Grounding Gap in MLLMs through Multi-Dimensional Evaluation
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DVGT: Driving Visual Geometry Transformer
