CUA-Master: Scaling Computer-use Agents through Open-World Recursive Improvements
Paper • 2611.03126 • Published • 98
Tianyu Fu
fuvty
AI & ML interests
efficient-llm
large-language-models
sparse-attention
token-routing
latent-iterations
kv-cache
multi-llm
reasoning
inference
systems
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WorldPlay2: Extending Real-Time Interactive World Models in Control and Horizon
Paper • 2609.35560 • Published • 27
Learning to Learn from Context: Synthetic Training from Perturbed Public Documents
Paper • 2609.33642 • Published • 30
Surprising Success, Repeated Failure: Entropy-Guided Credit Assignment for Exploration in LLM Reasoning
Paper • 2609.33781 • Published • 34
Learning Native Reflection in Unified Models with Interleaved Reinforcement Learning
Paper • 2609.35767 • Published • 42
Knowing When Thinking Is Not Enough: Teaching Small Reasoning Models to Reason Beyond Their Parametric Knowledge
Paper • 2609.34327 • Published • 39
CompoWorld: Compositional Environment Scaling for General Agents
Paper • 2609.33665 • Published • 35
EmbodiedMemory-Bench: Benchmarking Embodied Memory for Long-Horizon Embodied Tasks
Paper • 2609.28236 • Published • 17