World Action Models: A Survey
Paper • 2606.20781 • Published • 42
Fu-En Yang
FuEnYang
AI & ML interests
Computer Vision, Deep Learning, Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), Reasoning Models, Embodied AI
Recent Activity
upvoted a paper 1 day ago
World Action Models: A Survey upvoted a paper 1 day ago
EnterpriseClawBench: Benchmarking Agents from Real Workplace SessionsOrganizations
upvoted 4
papers 1 day ago
KaLM-Reranker-V1: Fast but Not Late Interaction for Compressed Document Reranking
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EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions
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PlanBench-XL: Evaluating Long-Horizon Planning of LLM Tool-Use Agents in Large-Scale Tool Ecosystems
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upvoted a collection 4 days ago
upvoted 15
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Imaginative Perception Tokens Enhance Spatial Reasoning in Multimodal Language Models
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DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning
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On the Scaling of PEFT: Towards Million Personal Models of Trillion Parameters
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Latent Spatial Memory for Video World Models
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Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings
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DreamX-World 1.0: A General-Purpose Interactive World Model
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Geometric Action Model for Robot Policy Learning
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JoyAI-VL-Interaction: Real-Time Vision-Language Interaction Intelligence
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LectūraAgents: A Multi-Agent Framework for Adaptive Personalized AI-Assisted Learning and Embodied Teaching
Paper • 2606.16428 • Published • 39
GameCraft-Bench: Can Agents Build Playable Games End-to-End in a Real Game Engine?
Paper • 2606.17861 • Published • 55