Promptbreeder evolves both task prompts and the mutation prompts that improve them using LLMs, outperforming Chain-of-Thought and Plan-and-Solve on arithmetic and commonsense reasoning benchmarks.
Long-horizon visual planning with goal-conditioned hierarchical predictors.arXiv preprint arXiv:2006.13205, 2020
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SUNTA uses surprise-driven chunk boundaries and decoupled training in hierarchical state-space models to sustain accurate video predictions over 250 timesteps where baselines fail after 10.
citing papers explorer
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Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution
Promptbreeder evolves both task prompts and the mutation prompts that improve them using LLMs, outperforming Chain-of-Thought and Plan-and-Solve on arithmetic and commonsense reasoning benchmarks.
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SUNTA: Hierarchical Video Prediction with Surprise-based Chunking
SUNTA uses surprise-driven chunk boundaries and decoupled training in hierarchical state-space models to sustain accurate video predictions over 250 timesteps where baselines fail after 10.