arXiv
Verdict: NotableCoworkOS:Scaling Agent Coworkers for Real-world Automation
Rapid advances in cowork agents are shifting human-AI collaboration toward real-world automation, delivering software, designs, and other artifacts.
- HF ▲ 89
- Stars ★ 78
Models, methods, and the machinery of intelligence.
arXiv
Verdict: NotableRapid advances in cowork agents are shifting human-AI collaboration toward real-world automation, delivering software, designs, and other artifacts.
Traditional image cropping assumes the photograph already contains the composition worth keeping, and asks only where to crop.
Progress in AI is often measured by what a single model can do on its own.
Complex documents such as scientific papers contain rich information in tables, figures, and equations; however, existing deep research (DR) agents typically reduce papers to ....
Recently, harness self-evolution has emerged as an important paradigm for improving agent performance.
Recent work shows that a frozen robot policy performs far better inside an agent harness, where control code decides when to query the policy, consult vision tools, or command the arm ....
Foundational vision models have become the de facto standard for many vision tasks due to their strong performance.
We introduce Dory1.0-4B, a 4-billion-parameter looped (latent-recurrent) language model with elastic depth: a single checkpoint serves different inference compute budgets.
Hyperparameter optimization (HPO) returns a single optimal configuration, systematically discarding the explored performance landscape that encodes how results depend on configuration ....