AIBullisharXiv – CS AI · 6h ago7/10
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Efficiently Representing Algorithms With Chain-of-Thought Transformers
Researchers demonstrate that chain-of-thought transformers can efficiently simulate Word RAM algorithms with only poly-logarithmic overhead, enabling tasks like sorting and pathfinding at near-optimal computational complexity. This theoretical advance bridges the gap between practical algorithm design and transformer capabilities, suggesting reasoning models can perform substantial computation efficiently.