LLMs discover latent planning strategies up to five steps during training and execute them up to eight steps at test time, with larger models reaching seven under few-shot prompting, revealing a dissociation between discovery and execution.
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2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 2verdicts
UNVERDICTED 2representative citing papers
Flash-Mono uses a recurrent feed-forward frontend with cross-attention to predict poses and 2D Gaussian surfel attributes for monocular SLAM, achieving 10x speedup and state-of-the-art tracking and mapping.
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Flash-Mono: Feed-Forward Accelerated Gaussian Splatting Monocular SLAM
Flash-Mono uses a recurrent feed-forward frontend with cross-attention to predict poses and 2D Gaussian surfel attributes for monocular SLAM, achieving 10x speedup and state-of-the-art tracking and mapping.