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Transformers secretly act like the power method, concentrating token embeddings along a dominant eigenvector with each layer.
Existing referring detection models fall apart when confronted with the scale variations and complexity of aerial imagery, but a new framework closes the gap.
Can AI transform a grumpy cat meme into a beacon of positivity while keeping the cat recognizable?
Forget retraining your agent: Steve-Evolving distills execution failures into executable guardrails and successes into reusable skills, injecting them into an LLM planner for continual, parameter-free improvement.
