AI for Auto-Research: Roadmap & User Guide
Paper • 2605.18661 • Published • 67
papers
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StableVLA: Towards Robust Vision-Language-Action Models without Extra Data
Paper • 2605.18287 • Published • 15 -
MixSD: Mixed Contextual Self-Distillation for Knowledge Injection
Paper • 2605.16865 • Published • 9 -
MolmoPoint: Better Pointing for VLMs with Grounding Tokens
Paper • 2603.28069 • Published • 9 -
VersaViT: Enhancing MLLM Vision Backbones via Task-Guided Optimization
Paper • 2602.09934 • Published • 1 -
Flash-WAM: Modality-Aware Distillation for World Action Models
Paper • 2606.05254 • Published • 7 -
Latent Reasoning with Normalizing Flows
Paper • 2606.06447 • Published • 8 -
Discrete-WAM: Unified Discrete Vision-Action Token Editing for World-Policy Learning
Paper • 2606.05645 • Published • 2 -
Dream.exe: Can Video Generation Models Dream Executable Robot Manipulation?
Paper • 2606.04811 • Published • 17 -
Cosmos 3: Omnimodal World Models for Physical AI
Paper • 2606.02800 • Published • 122 -
Qwen-Image-Flash: Beyond Objective Design
Paper • 2606.03746 • Published • 35 -
Filter, Then Reweight: Rethinking Optimization Granularity in On-Policy Distillation
Paper • 2606.02684 • Published • 16 -
GRAIL: Generating Humanoid Loco-Manipulation from 3D Assets and Video Priors
Paper • 2606.05160 • Published • 8 -
Unlocking Feature Learning in Gated Delta Networks at Scale
Paper • 2606.04048 • Published • 2 -
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes
Paper • 2605.31148 • Published • 3 -
On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
Paper • 2606.02437 • Published • 230 -
PhysBrain 1.0 Technical Report
Paper • 2605.15298 • Published • 143 -
Qwen-VLA: Unifying Vision-Language-Action Modeling across Tasks, Environments, and Robot Embodiments
Paper • 2605.30280 • Published • 143 -
LocateAnything: Fast and High-Quality Vision-Language Grounding with Parallel Box Decoding
Paper • 2605.27365 • Published • 142 -
RLDX-1 Technical Report
Paper • 2605.03269 • Published • 125 -
Robots Need More than VLA and World Models
Paper • 2606.06556 • Published • 29 -
World Pilot: Steering Vision-Language-Action Models with World-Action Priors
Paper • 2606.12403 • Published • 25 -
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning
Paper • 2606.11683 • Published • 30 -
On Subquadratic Architectures: From Applications to Principles
Paper • 2606.12364 • Published • 23 -
Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models
Paper • 2606.11324 • Published • 141 -
World Model Self-Distillation: Training World Models to Solve General Tasks
Paper • 2606.12072 • Published • 13 -
MiniMax Sparse Attention
Paper • 2606.13392 • Published • 138 -
WEAVER, Better, Faster, Longer: An Effective World Model for Robotic Manipulation
Paper • 2606.13672 • Published • 3 -
Hy-Embodied-0.5-VLA: From Vision-Language-Action Models to a Real-World Robot Learning Stack
Paper • 2606.14409 • Published • 12 -
μ_0: A Scalable 3D Interaction-Trace World Model
Paper • 2606.13769 • Published • 7 -
World Tracing: Generative Pixel-Aligned Geometry Beyond the Visible
Paper • 2606.13652 • Published • 11