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Task-level natural-language priors can transform low-resource LLM training, boosting performance even with minimal data.
"Parallel Shapley effectively 'fishes out the free riders' in reasoning paths, leading to more stable and interpretable training outcomes for LLMs."
Co-policy enables robots to generate musically complementary responses in real-time, transforming the landscape of human-robot musical collaboration.
A unified evaluation framework for portrait composition could revolutionize how AI interprets and generates artistic images.
