OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining Paper • 2609.07398 • Published 10 days ago • 76
AuK Technical Report: An Open-Source Foundational Model for Speech Generation and Editing Paper • 2609.08936 • Published 9 days ago • 218
What Makes Good Agentic Data? An ACE Lens on Data Generation for LLM Agents Paper • 2608.27260 • Published 21 days ago • 73
Unlocking the Potential of Image Editing via Concept Scaling and Dense Supervision Paper • 2608.16812 • Published about 1 month ago • 50
Block3D: Efficient Text-to-3D Generation via Block-Wise Diffusion Paper • 2608.19567 • Published 28 days ago • 33
ForgeWM: Progressive Causal Training for Few-Step Action-Conditioned Video World Models Paper • 2608.14022 • Published Aug 14 • 24
SG-WAM: Self-Guided World Modeling in Geometry-Aware Policy Space Paper • 2608.01397 • Published Aug 2 • 11
Progressive Agent Skill Generation via Reinforcement Learning Paper • 2608.01678 • Published Aug 3 • 62
Memory Decoder at Scale: A Pretrained, Parametric Long-Term Memory Paper • 2607.27919 • Published Jul 30 • 62
UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks Paper • 2607.08768 • Published Jul 9 • 35
MemLearner: Learning to Query Context memory for Video World Models Paper • 2606.31734 • Published Jun 30 • 29
Representation Forcing for Bottleneck-Free Unified Multimodal Models Paper • 2605.31604 • Published May 29 • 64
World Guidance: World Modeling in Condition Space for Action Generation Paper • 2602.22010 • Published Feb 25 • 16