Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds Paper • 2610.28698 • Published 12 days ago • 86
Can World and Action Modeling Benefit Each Other under Unified Causal Training? Paper • 2610.21095 • Published 17 days ago • 35
Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability Paper • 2610.14158 • Published 23 days ago • 12
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse Paper • 2605.09965 • Published May 12 • 1
UAOR: Uncertainty-aware Observation Reinjection for Vision-Language-Action Models Paper • 2602.18020 • Published Feb 20
SKIP: Sparse Keyframe Interpolation Paradigm for Efficient Embodied World Models Paper • 2606.00664 • Published May 30 • 1
BridgeV2W: Bridging Video Generation Models to Embodied World Models via Embodiment Masks Paper • 2602.03793 • Published Feb 3
Multi-View Video Diffusion Policy: A 3D Spatio-Temporal-Aware Video Action Model Paper • 2604.03181 • Published Apr 3
BridgeVLA: Input-Output Alignment for Efficient 3D Manipulation Learning with Vision-Language Models Paper • 2506.07961 • Published Jun 9, 2025 • 12
Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds Paper • 2610.28698 • Published 12 days ago • 86
Scaling in Games: Continued Pre-Training For Embodied Agents In Diverse Virtual Worlds Paper • 2610.28698 • Published 12 days ago • 86
Can World and Action Modeling Benefit Each Other under Unified Causal Training? Paper • 2610.21095 • Published 17 days ago • 35
Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability Paper • 2610.14158 • Published 23 days ago • 12
Can World and Action Modeling Benefit Each Other under Unified Causal Training? Paper • 2610.21095 • Published 17 days ago • 35
Can World and Action Modeling Benefit Each Other under Unified Causal Training? Paper • 2610.21095 • Published 17 days ago • 35
Video-Arena: A Scalable Agentic Video Benchmark for Spatiotemporal Capability Paper • 2610.14158 • Published 23 days ago • 12
Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Paper • 2505.00812 • Published Oct 29, 2025
Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse Paper • 2605.09965 • Published May 12 • 1
Harnessing Diversity for Important Data Selection in Pretraining Large Language Models Paper • 2409.16986 • Published Sep 25, 2024
SnapBench: Benchmarking Snap-and-Ask Multimodal Retrieval for Mobile Interactions Paper • 2608.29607 • Published Aug 30 • 7